Triple

T14499994
Position Surface form Disambiguated ID Type / Status
Subject Karabük E359608 entity
Predicate nearby P350 FINISHED
Object Safranbolu E359608 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: Safranbolu | Statement: [Karabük, nearby, Safranbolu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safranbolu
Context triple: [Karabük, nearby, Safranbolu]
  • A. Suşehri
    Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
  • B. Gozleme
    Gozleme is a traditional Turkish flatbread dish made from thinly rolled dough filled with ingredients like cheese, spinach, potatoes, or minced meat, then folded and cooked on a griddle.
  • C. Gemlik
    Gemlik is a coastal town and district in Bursa Province, northwestern Turkey, known for its port on the Sea of Marmara and its olive production.
  • D. Nevşehir
    Nevşehir is a city in central Turkey that serves as the main urban center and gateway to the historic, cave-dotted region of Cappadocia.
  • E. Karabük chosen
    Karabük is an industrial city in northern Turkey best known for its historic iron and steel industry and its proximity to the UNESCO-listed Ottoman town of Safranbolu.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02d84d881909aa8a1a3653d37bf completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 1:21 a.m.