Triple

T8686549
Position Surface form Disambiguated ID Type / Status
Subject Trabzon Airport E206172 entity
Predicate locatedNear P294 FINISHED
Object Trabzon city centre E41325 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: Trabzon city centre | Statement: [Trabzon Airport, locatedNear, Trabzon city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trabzon city centre
Context triple: [Trabzon Airport, locatedNear, Trabzon city centre]
  • A. Trabzon chosen
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • B. Trabzon Metropolitan Municipality
    Trabzon Metropolitan Municipality is the local government authority responsible for administering and providing public services in the city and greater metropolitan area of Trabzon, Turkey.
  • C. Florya
    Florya is a coastal neighborhood in Istanbul, Turkey, known for its residential areas, seaside promenade, and recreational facilities.
  • D. Adapazarı
    Adapazarı is a city in northwestern Turkey that serves as the administrative center of Sakarya Province and is known for its agricultural production and regional commerce.
  • E. Samsun
    Samsun is a major Turkish port city on the Black Sea coast, known as an important regional hub for maritime trade and industry.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf288acb348190829e149a9089a0a1 completed April 3, 2026, 2:40 a.m.
Created at: March 30, 2026, 6:33 p.m.