Triple

T12394798
Position Surface form Disambiguated ID Type / Status
Subject World Federation of Trade Unions E296088 entity
Predicate abbreviation P43 FINISHED
Object WFTU E296088 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: WFTU | Statement: [World Federation of Trade Unions, abbreviation, WFTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WFTU
Context triple: [World Federation of Trade Unions, abbreviation, WFTU]
  • A. LAFTA
    LAFTA (Latin American Free Trade Association) was a regional organization created to promote economic integration and free trade among Latin American countries.
  • B. FTU
    FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
  • C. FBU
    FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
  • D. World Federation of Trade Unions chosen
    The World Federation of Trade Unions is an international organization that unites trade unions worldwide, historically associated with left-wing and socialist labor movements.
  • E. UNEF
    UNEF is the acronym for the United Nations Emergency Force, a peacekeeping mission established by the UN to supervise ceasefires and buffer zones in conflict areas, notably during the Suez Crisis.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd33f048190b205fd21dc513f6a completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347e27b4819085494babfe180488 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.