diff --git a/trustgraph/prompts.py b/trustgraph/prompts.py
deleted file mode 100644
index c6b91ff2..00000000
--- a/trustgraph/prompts.py
+++ /dev/null
@@ -1,138 +0,0 @@
-
-def turtle_extract(text):
-
-    prompt = f"""<instructions>
-Study the following text and extract knowledge as
-information in Turtle RDF format.
-When declaring any new URIs, use <https://trustgraph.ai/e#> prefix,
-and declare appropriate namespace tags.
-</instructions>
-    
-<text>
-{text}
-</text>
-    
-<requirements>
-Do not use placeholders for information you do not know.
-You will respond only with raw Turtle RDF data. Do not provide
-explanations. Do not use special characters in the abstract text. The
-abstract must be written as plain text.  Do not add markdown formatting.
-</requirements>"""
-
-    return prompt
-
-def scholar(text):
-
-    # Build the prompt for Article style extraction
-    jsonexample = """{
-    "title": "Article title here",
-    "abstract": "Abstract text here",
-    "keywords": ["keyword1", "keyword2", "keyword3"],
-    "people": ["person1", "person2", "person3"]
-}"""
-    
-    promptscholar = f"""Your task is to read the provided text and write a scholarly abstract to fully explain all of the concepts described in the provided text. The abstract must include all conceptual details.
-<text>
-{text}
-</text>
-<instructions>
-
-- Structure: For the provided text, write a title, abstract, keywords,
-  and people for the concepts found in the provided text. Ignore
-  document formatting in the provided text such as table of contents,
-  headers, footers, section metadata, and URLs.
-- Focus on Concepts The abstract must focus on concepts found in the
-  provided text. The abstract must be factually accurate. Do not
-  write any concepts not found in the provided text. Do not
-  speculate. Do not omit any conceptual details.
-- Completeness: The abstract must capture all topics the reader will
-  need to understand the concepts found in the provided text. Describe
-  all terms, definitions, entities, people, events, concepts,
-  conceptual relationships, and any other topics necessary for the
-  reader to understand the concepts of the provided text.
-
-- Format: Respond in the form of a valid JSON object.
-</instructions>
-<example>
-{jsonexample}
-</example>
-<requirements>
-You will respond only with the JSON object. Do not provide
-explanations. Do not use special characters in the abstract text. The
-abstract must be written as plain text.
-</requirements>"""
-
-    return promptscholar
-
-def to_json_ld(text):
-
-    prompt = f"""<instructions>
-Study the following text and output any facts you discover in
-well-structured JSON-LD format.
-Use any schema you understand from schema.org to describe the facts.
-</instructions>
-
-<text>
-{text}
-</text>
-
-<requirements>
-You will respond only with raw JSON-LD data in JSON format. Do not provide
-explanations. Do not use special characters in the abstract text. The
-abstract must be written as plain text.  Do not add markdown formatting
-or headers or prefixes.  Do not use information which is not present in
-the input text.
-</requirements>"""
-    
-    return prompt
-    
-
-def to_relationships(text):
-
-    prompt = f"""<instructions>
-Study the following text and derive entity relationships.  For each
-relationship, derive the subject, predicate and object of the relationship.
-Output relationships in JSON format as an arary of objects with fields:
-- subject: the subject of the relationship
-- predicate: the predicate
-- object: the object of the relationship
-- object-entity: false if the object is a simple data type: name, value or date.  true if it is an entity.
-</instructions>
-
-<text>
-{text}
-</text>
-
-<requirements>
-You will respond only with raw JSON format data. Do not provide
-explanations. Do not use special characters in the abstract text. The
-abstract must be written as plain text.  Do not add markdown formatting
-or headers or prefixes.
-</requirements>"""
-    
-    return prompt
-    
-def to_definitions(text):
-
-    prompt = f"""<instructions>
-Study the following text and derive definitions for any discovered entities.
-Do not provide definitions for entities whose definitions are incomplete
-or unknown.
-Output relationships in JSON format as an arary of objects with fields:
-- entity: the name of the entity
-- definition: English text which defines the entity
-</instructions>
-
-<text>
-{text}
-</text>
-
-<requirements>
-You will respond only with raw JSON format data. Do not provide
-explanations. Do not use special characters in the abstract text. The
-abstract will be written as plain text.  Do not add markdown formatting
-or headers or prefixes.  Do not include null or unknown definitions.
-</requirements>"""
-    
-    return prompt
-