Triple

T4748825
Position Surface form Disambiguated ID Type / Status
Subject Civilian Marksmanship Program E105427 entity
Predicate alsoKnownAs P39 FINISHED
Object CMP
CMP is a U.S. national organization that promotes firearms safety and marksmanship training, particularly among civilians and youth, and oversees certain surplus military rifle sales.
 E467858 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CMP | Statement: [Civilian Marksmanship Program, alsoKnownAs, CMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CMP
Context triple: [Civilian Marksmanship Program, alsoKnownAs, CMP]
  • A. CMP
    CMP is the ICAO airline designator used to identify Copa Airlines in international aviation operations and communications.
  • B. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • C. CM
    CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
  • D. CM
    CM is the commonly used abbreviation for the Committee of Ministers, the decision-making body of the Council of Europe composed of the foreign ministers of member states or their representatives.
  • E. CM
    CM is the postcode area in the United Kingdom that covers Chelmsford and surrounding parts of Essex.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CMP
Triple: [Civilian Marksmanship Program, alsoKnownAs, CMP]
Generated description
CMP is a U.S. national organization that promotes firearms safety and marksmanship training, particularly among civilians and youth, and oversees certain surplus military rifle sales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CMP
Target entity description: CMP is a U.S. national organization that promotes firearms safety and marksmanship training, particularly among civilians and youth, and oversees certain surplus military rifle sales.
  • A. CMP
    CMP is the ICAO airline designator used to identify Copa Airlines in international aviation operations and communications.
  • B. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • C. CM
    CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
  • D. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • E. CM
    CM is the commonly used abbreviation for the Committee of Ministers, the decision-making body of the Council of Europe composed of the foreign ministers of member states or their representatives.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c6f5ac81908a62f9c17e77ac86 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a4e0844819098bb9abb05094a89 completed March 21, 2026, 6:27 a.m.
NEDg Description generation batch_69be3c9f8e048190a951b26c36cb7b23 completed March 21, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69be3d232b888190a0fd64c55a18eb48 completed March 21, 2026, 6:39 a.m.
Created at: March 20, 2026, 1:20 p.m.