Triple

T13075910
Position Surface form Disambiguated ID Type / Status
Subject Agra Airport E329571 entity
Predicate alsoKnownAs P39 FINISHED
Object Kheria Airport E331721 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: Kheria Airport | Statement: [Agra Airport, alsoKnownAs, Kheria Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kheria Airport
Context triple: [Agra Airport, alsoKnownAs, Kheria Airport]
  • A. Kheria Airport chosen
    Kheria Airport is a domestic and military airfield serving the city of Agra in Uttar Pradesh, India, located near the Taj Mahal and operated jointly by the Indian Air Force and civil aviation authorities.
  • B. Sardar Jangal Airport
    Sardar Jangal Airport is the main domestic airport serving the city of Rasht in Iran’s Gilan Province.
  • C. Bilasa Devi Kevat Airport
    Bilasa Devi Kevat Airport is a regional domestic airport serving the city of Bilaspur in the Indian state of Chhattisgarh.
  • D. Karipur Airport
    Karipur Airport, officially known as Calicut International Airport, is a major international airport serving the city of Kozhikode in the Indian state of Kerala.
  • E. Ghat Airport
    Ghat Airport is a small regional airport serving the town of Ghat in southwestern Libya, primarily handling domestic flights.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98117209081908272021013df2222 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27058dc8190a64e1a929f296619 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:01 p.m.