Triple

T22038772
Position Surface form Disambiguated ID Type / Status
Subject VIBY E544283 entity
Predicate ICAOCodeFor P419 FINISHED
Object Bareilly Airport 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: Bareilly Airport | Statement: [VIBY, ICAOCodeFor, Bareilly Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bareilly Airport
Context triple: [VIBY, ICAOCodeFor, Bareilly Airport]
  • A. Bareilly Airport chosen
    Bareilly Airport is a domestic airport in Uttar Pradesh, India, serving the city of Bareilly with regional commercial flights and also functioning as an Indian Air Force base.
  • B. Jamnagar Airport
    Jamnagar Airport is a domestic airport in Jamnagar, Gujarat, India, serving as a key regional hub for civilian flights and nearby industrial and defense facilities.
  • C. Kanpur Airport
    Kanpur Airport is a domestic airport serving the city of Kanpur in Uttar Pradesh, India, handling regional passenger flights and limited commercial operations.
  • D. Prayagraj Airport
    Prayagraj Airport is a domestic airport serving the city of Prayagraj (formerly Allahabad) in the Indian state of Uttar Pradesh.
  • E. Naini Saini Airport
    Naini Saini Airport is a regional airport serving the town of Pithoragarh in the hilly state of Uttarakhand, 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f42b48819095b04bad34e0e3c4 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.