Triple

T7840488
Position Surface form Disambiguated ID Type / Status
Subject İzmir Province E181790 entity
Predicate contains P35 FINISHED
Object Balçova E304450 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: Balçova | Statement: [İzmir Province, contains, Balçova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balçova
Context triple: [İzmir Province, contains, Balçova]
  • A. Balçova chosen
    Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
  • B. Büyükerşen
    Büyükerşen is a Turkish surname most prominently associated with Yılmaz Büyükerşen, a well-known academic and long-serving mayor of Eskişehir.
  • C. Muratlı
    Muratlı is a town and district in Turkey’s Thrace region, located within Tekirdağ Province and known for its agricultural and industrial activities.
  • D. Gönen
    Gönen is a town and district in northwestern Turkey known for its thermal springs and textile industry, located within Balıkesir Province.
  • E. Ballıca
    Ballıca is a village in Turkey known as the birthplace of prominent Turkish politician Kemal Kılıçdaroğlu.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3394b5408190a3d540b5eede456e completed April 1, 2026, 3:02 p.m.
Created at: March 30, 2026, 4:47 p.m.