Triple

T13121833
Position Surface form Disambiguated ID Type / Status
Subject Bornova district E311741 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Bornova E304448 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 | Statement: [Bornova district, hasMunicipalSeat, Bornova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornova
Context triple: [Bornova district, hasMunicipalSeat, Bornova]
  • A. Bornova chosen
    Bornova is a populous district of İzmir, Turkey, known for its large university campus, residential neighborhoods, and role as a key suburban hub of the city.
  • B. Altranova
    Altranova is a music producer known for working with the artist Jamz.
  • C. Bradina
    Bradina is a small village in central Bosnia and Herzegovina, historically notable as the birthplace of Croatian fascist leader Ante Pavelić.
  • D. Novellara
    Novellara is a historic town in northern Italy’s Emilia-Romagna region, known for its Renaissance heritage and agricultural traditions.
  • E. Balaban
    Balaban is a surname most notably associated with American actor and filmmaker Bob Balaban.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819840b881909b76022b4c4dcaed completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e286de608190bf46af2eb656bb79 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.