Triple

T1842077
Position Surface form Disambiguated ID Type / Status
Subject Chief of Staff of the French Army E41197 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: [Chief of Staff of the French Army, hasAbbreviation, CEMAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEMAT
Context triple: [Chief of Staff of the French Army, 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. CESAER
    CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
  • D. CESA
    CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
  • E. CESE
    CESE is France’s Economic, Social and Environmental Council, a constitutional advisory body that represents civil society and provides expert opinions on public policy.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03e7a7481909c5b902034390ef1 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c482908190b940497fc5d5db60 completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:33 p.m.