Triple

T18873035
Position Surface form Disambiguated ID Type / Status
Subject ETUI E461617 entity
Predicate acronym P43 FINISHED
Object ETUI NE NERFINISHED

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: ETUI | Statement: [ETUI, acronym, ETUI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ETUI
Context triple: [ETUI, acronym, ETUI]
  • A. ETUI chosen
    The ETUI is the research and training arm of the European Trade Union Confederation, focusing on workers’ rights, social policy, and labour-related research in Europe.
  • B. EFTU
    EFTU is the ICAO airport code for Turku Airport, a regional international airport serving the city of Turku in southwestern Finland.
  • C. UIT
    UIT is the former French abbreviation for the International Shooting Sport Federation, the global governing body for Olympic and international shooting sports.
  • D. UIT
    UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
  • E. ETB
    ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2ab4bb4819086ae98a38dd9b11b completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.