Triple

T22777402
Position Surface form Disambiguated ID Type / Status
Subject Kınalıada E563739 entity
Predicate connectsTo P845 FINISHED
Object Bostancı NE NERFINISHED

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: Bostancı | Statement: [Kınalıada, connectsTo, Bostancı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bostancı
Context triple: [Kınalıada, connectsTo, Bostancı]
  • A. Bostancı chosen
    Bostancı is a coastal neighborhood on Istanbul’s Asian side that serves as a major transportation hub and departure point for ferries to the Princes’ Islands.
  • B. Yenikapı
    Yenikapı is a coastal neighborhood and major transportation hub in Istanbul, known for its ferry port, metro connections, and large public square used for rallies and events.
  • C. Bahçelievler
    Bahçelievler is a densely populated residential and commercial district on the European side of Istanbul, Turkey.
  • D. Bahçelievler
    Bahçelievler is a residential neighborhood located within the Karşıyaka district of İzmir, Turkey.
  • E. Bostanlı
    Bostanlı is a coastal neighborhood in the Karşıyaka district of İzmir, Turkey, known for its seaside promenade, recreational areas, and vibrant local life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b6260a8819080e57481281dfe40 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.