Triple

T20033916
Position Surface form Disambiguated ID Type / Status
Subject BIPM Circular T E497208 entity
Predicate hasMainTopic P494 FINISHED
Object TAI 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: TAI | Statement: [BIPM Circular T, hasMainTopic, TAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAI
Context triple: [BIPM Circular T, hasMainTopic, TAI]
  • A. TAI
    TAI is the IATA airport code for Taiz International Airport, a public airport serving the city of Taiz in Yemen.
  • B. TAI chosen
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • C. TAI
    TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
  • D. TAI
    TAI is a music producer known for electronic and dance tracks, including collaborations with artists such as Kamikaze.
  • E. TA1
    TA1 is a UK postal district within the TA (Taunton) postcode area, covering central Taunton and its immediate surroundings in Somerset, England.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e6a7e481908069c1de2b3f94e0 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.