Triple

T8722016
Position Surface form Disambiguated ID Type / Status
Subject Chef d’état-major de l’Armée de terre E207032 entity
Predicate hasAbbreviation P43 FINISHED
Object CEMAT E207033 NE FINISHED

How this triple was built (2 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: CEMAT | Statement: [Chef d’état-major de l’Armée de terre, hasAbbreviation, CEMAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEMAT
Context triple: [Chef d’état-major de l’Armée de terre, hasAbbreviation, CEMAT]
  • A. CEMAT chosen
    CEMAT is the official abbreviation for the Chief of Staff of the French Army, the highest-ranking officer responsible for leading and overseeing France’s land forces.
  • B. CEMA
    CEMA is the acronym for the French Chief of the Defence Staff, the highest-ranking military officer overseeing France’s armed forces.
  • C. CEMO
    CEMO is a research center focused on advancing educational measurement, assessment, and related methodologies.
  • D. CEMAMu
    CEMAMu is an electroacoustic and computer music research center established in France that became a key hub for experimental and technologically driven musical creation.
  • E. CEMM
    CEMM is the official abbreviation for the Chief of Staff of the French Navy, the highest-ranking officer responsible for commanding and overseeing France’s naval forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d0609f48190adc56226724b16c6 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28f599a481908e93bc5b5c41296e completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.