Triple

T4615899
Position Surface form Disambiguated ID Type / Status
Subject Go First E100866 entity
Predicate operatedFromAirport P31126 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: [Go First, operatedFromAirport, Patna Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patna Airport
Context triple: [Go First, operatedFromAirport, 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. Varanasi Airport
    Varanasi Airport, now known as Lal Bahadur Shastri International Airport, is the main air gateway serving the ancient city of Varanasi in Uttar Pradesh, India.
  • E. 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.
  • 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_69be035a44f08190900bc6898a40e4e9 completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:12 p.m.