Triple

T12805443
Position Surface form Disambiguated ID Type / Status
Subject Bornova station E306132 entity
Predicate serves P98 FINISHED
Object Bornova district E311741 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: Bornova district | Statement: [Bornova station, serves, Bornova district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornova district
Context triple: [Bornova station, serves, Bornova district]
  • A. Bornova district chosen
    Bornova district is a populous urban area and important residential, commercial, and educational hub within the city of İzmir, Turkey.
  • B. Balçova district
    Balçova district is a coastal urban area of İzmir, Turkey, known for its thermal springs, residential neighborhoods, and proximity to the city’s commercial and touristic zones.
  • C. Konak district
    Konak district is the central urban and administrative heart of İzmir, Turkey, known for its historic landmarks, bustling waterfront, and role as the city’s main commercial and cultural hub.
  • D. Bayrampaşa district
    Bayrampaşa district is a densely populated working- and middle-class district on the European side of Istanbul, known for its industrial areas, major transport hubs, and large bus terminal.
  • E. Novo-Bayazet district
    Novo-Bayazet district was an administrative division of the Russian Empire and later the early Soviet period, located in the South Caucasus region around present-day Gavar in Armenia.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7f370c8190b3fc39c1b63394c6 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746077b288190b8ca7927352a7904 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 5:30 p.m.