Triple

T14364866
Position Surface form Disambiguated ID Type / Status
Subject Eskişehir Province E356204 entity
Predicate borders P224 FINISHED
Object Bilecik 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: Bilecik Province | Statement: [Eskişehir Province, borders, Bilecik Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilecik Province
Context triple: [Eskişehir Province, borders, Bilecik Province]
  • A. Bilecik Province chosen
    Bilecik Province is a small, historically significant province in northwestern Turkey known as the birthplace of the Ottoman Empire.
  • B. Çankırı Province
    Çankırı Province is a landlocked administrative region in north-central Turkey known for its mountainous terrain, historical sites, and traditional salt mines.
  • C. Düzce Province
    Düzce Province is a region in northwestern Turkey along the Black Sea coast, known for its forests, waterfalls, and rapidly developing urban center of Düzce.
  • 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. Gümüşhane Province
    Gümüşhane Province is a mountainous region in northeastern Turkey known for its rich mineral resources, historic towns, and location along important routes through the Pontic Mountains.
  • 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.