Triple

T5491965
Position Surface form Disambiguated ID Type / Status
Subject Asian Turkey E123721 entity
Predicate containsCity P294 FINISHED
Object Kastamonu E404659 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: Kastamonu | Statement: [Asian Turkey, containsCity, Kastamonu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kastamonu
Context triple: [Asian Turkey, containsCity, Kastamonu]
  • A. Kastamonu Province chosen
    Kastamonu Province is a historically rich, mountainous region in northern Turkey, known for its traditional architecture, forests, and cultural heritage.
  • B. Karabük
    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.
  • C. Amasya
    Amasya is a historic city in northern Turkey, renowned for its Ottoman-era architecture, rock tombs of Pontic kings, and scenic setting along the Yeşilırmak River.
  • D. Trabzon Province
    Trabzon Province is a coastal region in northeastern Turkey along the Black Sea, known for its mountainous landscapes, rich history, and the city of Trabzon as its capital.
  • E. Ardahan
    Ardahan is a town in northeastern Turkey that serves as the capital of Ardahan Province near the border with Georgia.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65f9d763c81908bdc6d9cfc718a55 completed March 27, 2026, 10:44 a.m.
Created at: March 20, 2026, 2:10 p.m.