Triple

T17531802
Position Surface form Disambiguated ID Type / Status
Subject Pathankot district E426952 entity
Predicate hasAirport P105 FINISHED
Object Pathankot 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: Pathankot Airport | Statement: [Pathankot district, hasAirport, Pathankot Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pathankot Airport
Context triple: [Pathankot district, hasAirport, Pathankot Airport]
  • A. Pathankot Airport chosen
    Pathankot Airport is a regional airport in Punjab, India, serving the city of Pathankot and nearby areas with limited commercial and military aviation operations.
  • B. Pathankot
    Pathankot is a city in the northern Indian state of Punjab, known as a strategic transport hub near the borders of Jammu and Kashmir and Himachal Pradesh.
  • C. Kangra Airport
    Kangra Airport is a domestic airport in Himachal Pradesh, India, serving the town of Dharamshala and the surrounding Kangra Valley region.
  • D. Jammu Airport
    Jammu Airport is a domestic airport serving the city of Jammu in the Indian union territory of Jammu and Kashmir, providing air connectivity to major cities in northern India.
  • E. Chandigarh Airport
    Chandigarh Airport is a domestic and international airport serving the cities of Chandigarh, Mohali, and Panchkula in northern 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453695734819092d4dcbab4a4fa01 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.