Triple

T20747585
Position Surface form Disambiguated ID Type / Status
Subject Kanpur Nagar district E510624 entity
Predicate hasAirport P105 FINISHED
Object Kanpur 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: Kanpur Airport | Statement: [Kanpur Nagar district, hasAirport, Kanpur Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanpur Airport
Context triple: [Kanpur Nagar district, hasAirport, Kanpur Airport]
  • A. Kanpur Airport chosen
    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. Lucknow Airport
    Lucknow Airport, officially known as Chaudhary Charan Singh International Airport, is a major international airport serving the city of Lucknow in the Indian state of Uttar Pradesh.
  • 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 (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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c226fbf881909794eff3ee9e206b completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.