Triple

T18376778
Position Surface form Disambiguated ID Type / Status
Subject Oltu stone deposits E446338 entity
Predicate locatedIn P40 FINISHED
Object Oltu district 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: Oltu district | Statement: [Oltu stone deposits, locatedIn, Oltu district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oltu district
Context triple: [Oltu stone deposits, locatedIn, Oltu district]
  • A. Oltu district chosen
    Oltu district is a region in Erzurum Province in northeastern Turkey, noted for its deposits of the semi-precious black gemstone commonly known as Oltu stone.
  • B. Paucarpata District
    Paucarpata District is an urban district in the Arequipa Province of southern Peru, situated on the slopes near the Misti volcano.
  • C. Ungheni District
    Ungheni District is an administrative region in central Moldova known for its agricultural economy and proximity to the Romanian border.
  • D. Tapolca District
    Tapolca District is an administrative district in western Hungary, centered on the town of Tapolca and known for its scenic landscapes near Lake Balaton.
  • E. Bozova District
    Bozova District is an administrative district in Şanlıurfa Province in southeastern Turkey, known for its predominantly rural character and agricultural economy.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179849d08190a3ffb9edc633d2ee completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.