Triple

T20886147
Position Surface form Disambiguated ID Type / Status
Subject KVIS E514284 entity
Predicate hasIATACode P2569 FINISHED
Object VIS 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: VIS | Statement: [KVIS, hasIATACode, VIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VIS
Context triple: [KVIS, hasIATACode, VIS]
  • A. VIS
    VIS is a large-scale European Union database system used to store and exchange visa application and related biometric data among member states’ authorities.
  • B. VIS chosen
    VIS is the IATA airport code for Visalia Municipal Airport in Visalia, California, United States.
  • C. Vis
    Vis is a Croatian island in the Adriatic Sea known for its unspoiled nature, historic towns, and former role as a strategic military base.
  • D. Vis
    Vis is a river in southern France known for carving the dramatic Cirque de Navacelles canyon through the limestone plateaus of the Cévennes region.
  • E. VISR
    VISR is the ICAO airport code for Srinagar International Airport, a major airport serving the city of Srinagar in Jammu and Kashmir, India.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d058d4dc81908398f8c75e30dc77 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:46 p.m.