Triple

T10695865
Position Surface form Disambiguated ID Type / Status
Subject Çorum Province E252136 entity
Predicate borders P224 FINISHED
Object Sinop Province E523885 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: Sinop Province | Statement: [Çorum Province, borders, Sinop Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinop Province
Context triple: [Çorum Province, borders, Sinop Province]
  • A. Sinop Province chosen
    Sinop Province is a Black Sea coastal province in northern Turkey known for its historic port city of Sinop, natural landscapes, and maritime heritage.
  • B. Zonguldak
    Zonguldak is a port city on Turkey’s Black Sea coast known historically for its coal mining industry.
  • C. Kars Province
    Kars Province is a northeastern region of Turkey known for its harsh winters, historic architecture, and strategic location bordering Armenia and Georgia.
  • D. Ordu Province
    Ordu Province is a coastal region in northern Turkey along the Black Sea, known for its hazelnut production and mountainous landscapes.
  • E. Bilecik Province
    Bilecik Province is a small, historically significant province in northwestern Turkey known as the birthplace of the Ottoman Empire.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd3af5248190ab807965255e9ad2 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69f64b78e7ec819093e5e631197ed295 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:11 p.m.