Triple

T21966079
Position Surface form Disambiguated ID Type / Status
Subject Ayvansaray E542459 entity
Predicate locatedIn P40 FINISHED
Object Fatih 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: Fatih district | Statement: [Ayvansaray, locatedIn, Fatih district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fatih district
Context triple: [Ayvansaray, locatedIn, Fatih district]
  • A. Fatih district chosen
    Fatih district is a historic central district on Istanbul’s European side, encompassing many of the city’s most significant Byzantine and Ottoman landmarks.
  • B. Eyüpsultan district
    Eyüpsultan district is a historic and predominantly residential area on the European side of Istanbul, known for its important religious sites and its location along the Golden Horn.
  • C. Beyoğlu district
    Beyoğlu district is a historic and vibrant central area of Istanbul, Turkey, known for its cultural landmarks, nightlife, and cosmopolitan atmosphere.
  • D. Kağıthane district
    Kağıthane district is an urban area on the European side of Istanbul, Turkey, known for its rapid modernization and mixed residential and commercial neighborhoods.
  • E. Şişli district
    Şişli district is a central and densely populated area on Istanbul’s European side, known for its commercial centers, business districts, and historic neighborhoods.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1245aabf88190a44564e6eaaa94ce completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:01 p.m.