Triple

T14364811
Position Surface form Disambiguated ID Type / Status
Subject Çankırı E356203 entity
Predicate capitalOf P204 FINISHED
Object Çankırı 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: Çankırı Province | Statement: [Çankırı, capitalOf, Çankırı Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çankırı Province
Context triple: [Çankırı, capitalOf, Çankırı Province]
  • A. Çankırı Province chosen
    Çankırı Province is a landlocked administrative region in north-central Turkey known for its mountainous terrain, historical sites, and traditional salt mines.
  • B. Kırıkkale Province
    Kırıkkale Province is a central Anatolian province of Turkey known for its industrial base, particularly in arms and ammunition manufacturing, and its proximity to the capital, Ankara.
  • C. Bilecik Province
    Bilecik Province is a small, historically significant province in northwestern Turkey known as the birthplace of the Ottoman Empire.
  • D. Çorum Province
    Çorum Province is a region in north-central Turkey known for its rich Hittite archaeological heritage, including the ancient capital Hattusa at Boğazköy.
  • E. Kırşehir Province
    Kırşehir Province is a central Anatolian province of Turkey known for its agricultural economy and historical and cultural heritage.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
Created at: April 10, 2026, 1:15 a.m.