Triple

T2840726
Position Surface form Disambiguated ID Type / Status
Subject Panaji E62458 entity
Predicate nearestAirport P22550 FINISHED
Object Dabolim Airport E51808 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: Dabolim Airport | Statement: [Panaji, nearestAirport, Dabolim Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dabolim Airport
Context triple: [Panaji, nearestAirport, Dabolim Airport]
  • A. Dabolim Airport chosen
    Dabolim Airport is the main international airport serving the Indian state of Goa, handling both civilian and military air traffic.
  • B. Sabha Airport
    Sabha Airport is a public airport serving the city of Sabha in southwestern Libya, providing regional air transport connections for the surrounding Fezzan region.
  • C. Punta Raisi Airport
    Punta Raisi Airport is the main international airport serving Palermo and the surrounding region in Sicily, Italy.
  • D. Nal Airport
    Nal Airport is a domestic airport serving the city of Bikaner in the Indian state of Rajasthan.
  • E. Kohat Airport
    Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d7705108190a986d3def0c08f7b completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:01 p.m.