Triple

T30048388
Position Surface form Disambiguated ID Type / Status
Subject VOTV E763523 entity
Predicate isMajorAirportCodeFor P86071 FINISHED
Object Kerala 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: Kerala | Statement: [VOTV, isMajorAirportCodeFor, Kerala]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMajorAirportCodeFor
Context triple: [VOTV, isMajorAirportCodeFor, Kerala]
  • A. isMajorDomesticAirportCode chosen
    Indicates that an airport code belongs to a major domestic airport within a given country or region.
  • B. isMajorCargoAirport
    Indicates that an airport primarily handles large volumes of cargo traffic and serves as a significant freight hub.
  • C. isMajorRegionalAirportFor
    Indicates that an airport serves as a primary or significant air travel hub for a particular region.
  • D. hasMajorAirport
    Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
  • E. hasPrimaryAirportRole
    Indicates that an entity holds the main or principal functional role associated with an airport.
  • F. None of above.

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_69f22470a89c8190be7273297c0e0d19 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
Created at: April 29, 2026, 6:54 p.m.