Triple

T6507937
Position Surface form Disambiguated ID Type / Status
Subject İmroz E150057 entity
Predicate hasVillage P4011 FINISHED
Object Kaleköy E601891 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: Kaleköy | Statement: [İmroz, hasVillage, Kaleköy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaleköy
Context triple: [İmroz, hasVillage, Kaleköy]
  • A. Kalecik
    Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
  • B. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • C. Poyrazköy
    Poyrazköy is a coastal neighborhood on the Asian side of Istanbul, Turkey, situated at the northern entrance of the Bosphorus Strait.
  • D. Dereköy chosen
    Dereköy is a village on the Aegean island of Gökçeada (historically known as Imbros/İmroz) in Turkey, noted for its traditional stone houses and Greek heritage.
  • E. Hasköy
    Hasköy is a historic neighborhood on the European side of Istanbul, known for its multicultural past and its location along the Golden Horn.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c699693d94819088e8adff364e834a completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d50d155c81908b01914db32494d8 completed March 27, 2026, 7:05 p.m.
Created at: March 27, 2026, 1:43 p.m.