Triple

T10299192
Position Surface form Disambiguated ID Type / Status
Subject Kamalpur E241579 entity
Predicate airportServes P4363 FINISHED
Object Kamalpur Airport E856317 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: Kamalpur Airport | Statement: [Kamalpur, airportServes, Kamalpur Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamalpur Airport
Context triple: [Kamalpur, airportServes, Kamalpur Airport]
  • A. Kamalpur Airport chosen
    Kamalpur Airport is a small regional airport serving the town of Kamalpur in the Indian state of Tripura.
  • B. Mohanbari Airport
    Mohanbari Airport is a regional airport serving the Upper Assam area of northeastern India, providing air connectivity for passengers and cargo.
  • C. Kumbhirgram Airport
    Kumbhirgram Airport is a domestic airport serving the city of Silchar in the Indian state of Assam.
  • D. Kheria Airport
    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.
  • E. Darbhanga Airport
    Darbhanga Airport is a domestic airport in Bihar, India, serving the city of Darbhanga and surrounding regions with commercial flight connectivity.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ee10f88190b1615c49b8f24a26 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75018383481909abbba8247a93f8e completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:44 a.m.