Triple

T11029545
Position Surface form Disambiguated ID Type / Status
Subject Fatih, Istanbul E260720 entity
Predicate contains P35 FINISHED
Object Beyazıt Square E646419 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: Beyazıt Square | Statement: [Fatih, Istanbul, contains, Beyazıt Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beyazıt Square
Context triple: [Fatih, Istanbul, contains, Beyazıt Square]
  • A. Beyazıt Square chosen
    Beyazıt Square is a historic public square in Istanbul, Turkey, known for its proximity to Istanbul University and several important Ottoman-era landmarks.
  • B. Konak Square
    Konak Square is the central and most famous public square of İzmir, Turkey, known as a key social, political, and transportation hub of the city.
  • C. Ortaköy Square
    Ortaköy Square is a popular waterfront plaza in Istanbul’s Ortaköy neighborhood, known for its lively cafes, street vendors, and views of the Bosphorus and Bosphorus Bridge.
  • D. Eminönü Square
    Eminönü Square is a bustling historic public square in Istanbul, Turkey, known for its ferry docks, markets, and proximity to landmarks like the Spice Bazaar and the New Mosque.
  • E. Üsküdar Square
    Üsküdar Square is a major public square and transportation hub on Istanbul’s Asian side, serving as a central gathering point along the Bosphorus waterfront.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797d2feb881909a5684721e8b0d9c completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3753451e08190bc42ab99d01926f9 completed April 18, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:25 p.m.