Triple

T7255721
Position Surface form Disambiguated ID Type / Status
Subject Black Sea coast E157716 entity
Predicate hasCity P316 FINISHED
Object Rize E281043 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: Rize | Statement: [Black Sea coast, hasCity, Rize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rize
Context triple: [Black Sea coast, hasCity, Rize]
  • A. Le Rize
    Le Rize is a cultural and heritage center in Villeurbanne, France, dedicated to local history, memory, and community-focused artistic and educational activities.
  • B. Rize Province chosen
    Rize Province is a mountainous, coastal region in northeastern Turkey along the Black Sea, known for its lush tea plantations and predominantly rainy climate.
  • C. Zonguldak
    Zonguldak is a port city on Turkey’s Black Sea coast known historically for its coal mining industry.
  • D. Hakkâri
    Hakkâri is a mountainous city in southeastern Turkey near the borders with Iraq and Iran, known for its rugged terrain and predominantly Kurdish population.
  • E. Bartın
    Bartın is a small city and provincial capital in northern Turkey, located near the Black Sea and known for its historic wooden houses and natural surroundings.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa0c76c81909fe43ed6938a13ea completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db14f6c481908084aaa49d82787d completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:56 p.m.