Triple

T4615892
Position Surface form Disambiguated ID Type / Status
Subject Go First E100866 entity
Predicate operatedFromAirport P31126 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: [Go First, operatedFromAirport, Dabolim Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dabolim Airport
Context triple: [Go First, operatedFromAirport, 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. Dhusamareb Airport
    Dhusamareb Airport is a regional airport serving the town of Dhusamareb, the capital of the Galmudug state in central Somalia.
  • C. 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.
  • D. Punta Raisi Airport
    Punta Raisi Airport is the main international airport serving Palermo and the surrounding region in Sicily, Italy.
  • E. Muanda Airport
    Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59df3c3c8190be5db000f831d322 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be399de7248190ba4cde67ff4cbff4 completed March 21, 2026, 6:24 a.m.
Created at: March 20, 2026, 1:12 p.m.