Triple

T1453772
Position Surface form Disambiguated ID Type / Status
Subject Blue Mosque E31351 entity
Predicate locatedIn P40 FINISHED
Object Fatih district E131656 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: Fatih district | Statement: [Blue Mosque, locatedIn, Fatih district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fatih district
Context triple: [Blue Mosque, 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. Beyoğlu district
    Beyoğlu district is a historic and vibrant central area of Istanbul, Turkey, known for its cultural landmarks, nightlife, and cosmopolitan atmosphere.
  • C. Seferihisar district
    Seferihisar district is a coastal district of İzmir Province in western Turkey, known for its ancient ruins, including the nearby city of Teos, and its designation as one of the country’s first “Cittaslow” (slow city) communities.
  • D. Ümraniye
    Ümraniye is a densely populated residential and commercial district located on the Asian side of Istanbul, Turkey.
  • E. Üsküdar
    Üsküdar is a historic and densely populated district of Istanbul known for its waterfront along the Bosphorus, Ottoman-era mosques, and traditional neighborhoods.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57e82d48190a30a4512f39f5de0 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02f8483c8190a72c79f5b60eb927 completed March 8, 2026, 11:15 p.m.
Created at: March 1, 2026, 8 p.m.