Triple

T1467354
Position Surface form Disambiguated ID Type / Status
Subject Economic, Social and Environmental Council of France E27053 entity
Predicate abbreviation P43 FINISHED
Object CESE E166756 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: CESE | Statement: [Economic, Social and Environmental Council of France, abbreviation, CESE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CESE
Context triple: [Economic, Social and Environmental Council of France, abbreviation, CESE]
  • A. CESE chosen
    CESE is France’s Economic, Social and Environmental Council, a constitutional advisory body that represents civil society and provides expert opinions on public policy.
  • B. 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.
  • C. SCSE
    SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
  • D. CESAER
    CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
  • E. CEST
    CEST is the daylight saving time observed in many Central European countries, typically running one hour ahead of Central European Time.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5bcfa0881909d6137c69825bc7a completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15a4d4b48190bda15e333f7efd7f completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8:01 p.m.