Triple

T6339538
Position Surface form Disambiguated ID Type / Status
Subject Herceg Novi E142587 entity
Predicate nearAirport P350 FINISHED
Object Tivat Airport E481736 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: Tivat Airport | Statement: [Herceg Novi, nearAirport, Tivat Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tivat Airport
Context triple: [Herceg Novi, nearAirport, 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. 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.
  • C. Corvo Airport
    Corvo Airport is a small regional airport serving the remote island of Corvo in Portugal’s Azores archipelago.
  • D. Talagi Airport
    Talagi Airport is the main commercial airport serving the city of Arkhangelsk in northwestern Russia.
  • E. El Nouzha Airport
    El Nouzha Airport is the former main international airport serving Alexandria, Egypt, located to the east of the city.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654fb774819087bffb8b966a790a completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604352f148190b5accc28462256ad completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.