Triple

T12375620
Position Surface form Disambiguated ID Type / Status
Subject Munger E295114 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Patna Airport E300505 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: Patna Airport | Statement: [Munger, hasNearbyAirport, Patna Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patna Airport
Context triple: [Munger, hasNearbyAirport, Patna Airport]
  • A. 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.
  • B. Prayagraj Airport
    Prayagraj Airport is a domestic airport serving the city of Prayagraj (formerly Allahabad) in the Indian state of Uttar Pradesh.
  • C. Jay Prakash Narayan International Airport chosen
    Jay Prakash Narayan International Airport is the main commercial airport serving Patna and the surrounding region in the Indian state of Bihar.
  • D. Ranchi Airport
    Ranchi Airport, also known as Birsa Munda Airport, is a domestic airport serving the city of Ranchi in Jharkhand, India.
  • E. Biju Patnaik International Airport
    Biju Patnaik International Airport is the primary international airport serving Bhubaneswar, the capital city of the Indian state of Odisha.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fb8d6c081909e8bbbd52c73f29c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac3c9f081909cd55f966ab6b465 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.