Triple

T15233486
Position Surface form Disambiguated ID Type / Status
Subject Juma-Jami Mosque E364063 entity
Predicate locatedIn P40 FINISHED
Object Gözleve E70135 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: Gözleve | Statement: [Juma-Jami Mosque, locatedIn, Gözleve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gözleve
Context triple: [Juma-Jami Mosque, locatedIn, Gözleve]
  • A. Gözleve chosen
    Gözleve is the former name of Eupatoria, a historic port city on the western coast of Crimea known for its diverse cultural heritage and Black Sea location.
  • B. Gürbulak
    Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
  • C. Orhangazi
    Orhangazi is a town and district in northwestern Turkey known for its olive cultivation and location near Lake İznik in Bursa Province.
  • D. Yusufeli
    Yusufeli is a small mountainous town and district in Artvin Province in northeastern Turkey, known for its rugged landscape and proximity to the Çoruh River.
  • E. Mahmudiye
    Mahmudiye is a small town and district in central Turkey known for its agricultural activities and rural character within Eskişehir Province.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3dd5a081909a1a7fceda648c29 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.