Triple

T16236240
Position Surface form Disambiguated ID Type / Status
Subject Mimar Sinan Fine Arts University E394118 entity
Predicate locatedIn P40 FINISHED
Object Fındıklı, Istanbul E690708 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: Fındıklı, Istanbul | Statement: [Mimar Sinan Fine Arts University, locatedIn, Fındıklı, Istanbul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fındıklı, Istanbul
Context triple: [Mimar Sinan Fine Arts University, locatedIn, Fındıklı, Istanbul]
  • A. Fatih, Istanbul
    Fatih is a historic central district of Istanbul known for its dense concentration of Ottoman-era architecture, religious institutions, and educational establishments.
  • B. Ortaköy
    Ortaköy is a district and town in central Turkey’s Aksaray Province, known for its rural character and agricultural economy.
  • C. Ortaköy
    Ortaköy is a lively Bosphorus-side neighborhood in Istanbul known for its waterfront mosque, cafes, and views of the Bosporus Bridge.
  • D. Kabataş chosen
    Kabataş is a coastal neighborhood in Istanbul, Turkey, known as a major transportation hub with ferry, tram, and funicular connections along the Bosphorus.
  • E. Florya
    Florya is a coastal neighborhood in Istanbul, Turkey, known for its residential areas, seaside promenade, and recreational facilities.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455abc608190ba3308c15c9e8a23 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed8cbe48190be68ccade55211ad completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.