Triple

T11422966
Position Surface form Disambiguated ID Type / Status
Subject Dimapur E270671 entity
Predicate hasAirport P105 FINISHED
Object Dimapur Airport E636338 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: Dimapur Airport | Statement: [Dimapur, hasAirport, Dimapur Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dimapur Airport
Context triple: [Dimapur, hasAirport, Dimapur Airport]
  • A. Dimapur Airport chosen
    Dimapur Airport is a domestic airport in Nagaland, India, serving as the primary air gateway to the state capital, Kohima, and surrounding regions.
  • B. Jorhat Airport
    Jorhat Airport is a domestic airport in Assam, India, serving the city of Jorhat and surrounding regions with regional air connectivity.
  • C. Dibrugarh Airport
    Dibrugarh Airport is a domestic airport in the Indian state of Assam that serves the city of Dibrugarh and the surrounding Upper Assam region.
  • D. Tezpur Airport
    Tezpur Airport is a domestic airport in Tezpur, Assam, India, serving as a regional air transport hub for the surrounding area.
  • E. Shillong Airport
    Shillong Airport is a domestic airport serving the city of Shillong in the Indian state of Meghalaya, providing regional air connectivity to the northeastern region of India.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8a1e88c8190994bea88a0490e60 completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.