Triple

T15738685
Position Surface form Disambiguated ID Type / Status
Subject İnebolu E381543 entity
Predicate locatedIn P40 FINISHED
Object Kastamonu Province 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: Kastamonu Province | Statement: [İnebolu, locatedIn, Kastamonu Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kastamonu Province
Context triple: [İnebolu, locatedIn, Kastamonu Province]
  • 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. Giresun Province
    Giresun Province is a coastal province in northeastern Turkey along the Black Sea, known for its lush green landscapes and extensive hazelnut production.
  • C. 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.
  • D. Osmaniye Province
    Osmaniye Province is a region in southern Turkey known for its agricultural economy, historical sites, and location near the Mediterranean coast.
  • E. Afyonkarahisar Province
    Afyonkarahisar Province is an inland province of western Turkey known for its historic fortress-topped city, thermal springs, and significant agricultural and opium poppy production.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd6eb888190b7a9b07b76e62c0d completed April 16, 2026, 2:56 a.m.
Created at: April 10, 2026, 4:46 a.m.