Triple

T1532799
Position Surface form Disambiguated ID Type / Status
Subject Centre des monuments nationaux E32482 entity
Predicate shortName P43 FINISHED
Object CMN
CMN is the abbreviation for the Centre des monuments nationaux, the French public institution responsible for managing and promoting many of France’s historic monuments and heritage sites.
E173693 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: CMN | Statement: [Centre des monuments nationaux, shortName, CMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMN
Context triple: [Centre des monuments nationaux, shortName, CMN]
  • A. CMC
    CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
  • B. 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.
  • C. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • D. CNP
    CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
  • E. CMR
    CMR is the three-letter FIFA country code used to represent the Cameroon national football team in international competitions and rankings.
  • 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: CMN
Triple: [Centre des monuments nationaux, shortName, CMN]
Generated description
CMN is the abbreviation for the Centre des monuments nationaux, the French public institution responsible for managing and promoting many of France’s historic monuments and heritage sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CMN
Target entity description: CMN is the abbreviation for the Centre des monuments nationaux, the French public institution responsible for managing and promoting many of France’s historic monuments and heritage sites.
  • A. CMC
    CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
  • B. 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.
  • C. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • D. CNP
    CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
  • E. CMR
    CMR is the three-letter FIFA country code used to represent the Cameroon national football team in international competitions and rankings.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9081835e4819093dee004fdb027ff completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295a03d881909071fb437c2d19ba completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a18a79c81908f04ba9aa55d52a0 completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a8deae8819095731fdd1b4bd310 completed March 8, 2026, 7:51 a.m.
Created at: March 4, 2026, 7:26 p.m.