Triple

T13344377
Position Surface form Disambiguated ID Type / Status
Subject Bayraklı district E317910 entity
Predicate borders P224 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: [Bayraklı district, borders, Bornova district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornova district
Context triple: [Bayraklı district, borders, 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8839b48190b164414b418e756c completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b143388190a6bed8e21105a406 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 9:31 p.m.