Triple

T19406799
Position Surface form Disambiguated ID Type / Status
Subject Baošići E485482 entity
Predicate nearestAirport P22550 FINISHED
Object Tivat Airport NE NERFINISHED

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: Tivat Airport | Statement: [Baošići, nearestAirport, Tivat Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tivat Airport
Context triple: [Baošići, nearestAirport, Tivat Airport]
  • A. Tivat Airport chosen
    Tivat Airport is a coastal international airport in Montenegro that serves the popular tourist region around the Bay of Kotor and the Adriatic coast.
  • B. Lonorore Airport
    Lonorore Airport is a small regional airfield in Vanuatu that serves Pentecost Island and connects it to other parts of the country.
  • C. Labraq Airport
    Labraq Airport is a regional airport in eastern Libya that serves the city of Bayda and surrounding areas with domestic and limited international flights.
  • D. Kutaisi International Airport
    Kutaisi International Airport is a major international airport in western Georgia that serves as a key hub for low-cost carriers and regional travel.
  • E. Longana Airport
    Longana Airport is a small regional airfield serving the island of Ambae in Vanuatu, providing local and inter-island air transport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257bad0c819088dd7729b6a36a94 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.