Triple

T4615895
Position Surface form Disambiguated ID Type / Status
Subject Go First E100866 entity
Predicate operatedFromAirport P31126 FINISHED
Object Srinagar Airport E333228 NE FINISHED

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: Srinagar Airport | Statement: [Go First, operatedFromAirport, Srinagar Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Srinagar Airport
Context triple: [Go First, operatedFromAirport, Srinagar Airport]
  • A. Srinagar International Airport chosen
    Srinagar International Airport is the main air gateway to the Kashmir Valley in India, serving domestic and limited international flights for the city of Srinagar.
  • B. Shimla Airport
    Shimla Airport is a small domestic airport in the Indian state of Himachal Pradesh that serves the hill station city of Shimla and its surrounding region.
  • C. Pantnagar Airport
    Pantnagar Airport is a regional domestic airport in Uttarakhand, India, serving the Kumaon region and nearby cities such as Moradabad.
  • D. Kangra Airport
    Kangra Airport is a domestic airport in Himachal Pradesh, India, serving the town of Dharamshala and the surrounding Kangra Valley region.
  • E. Pathankot Airport
    Pathankot Airport is a regional airport in Punjab, India, serving the city of Pathankot and nearby areas with limited commercial and military aviation operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59df3c3c8190be5db000f831d322 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa8da23881909ba4a70e9697f260 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.