Triple

T7872924
Position Surface form Disambiguated ID Type / Status
Subject IXS E182781 entity
Predicate represents P129 FINISHED
Object Silchar Airport E34709 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: Silchar Airport | Statement: [IXS, represents, Silchar Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silchar Airport
Context triple: [IXS, represents, Silchar Airport]
  • A. Silchar Airport chosen
    Silchar Airport is a domestic airport serving the city of Silchar and the Barak Valley region in the Indian state of Assam.
  • 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. Dimapur Airport
    Dimapur Airport is a domestic airport in Nagaland, India, serving as the primary air gateway to the state capital, Kohima, and surrounding regions.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a6d93881908d68386e49bea1e3 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbdbcede08190af889a5228de01f5 completed April 1, 2026, 6:39 a.m.
Created at: March 30, 2026, 4:56 p.m.