Triple

T7957428
Position Surface form Disambiguated ID Type / Status
Subject Uğur Dündar E184774 entity
Predicate placeOfBirth P1 FINISHED
Object Silivri E727197 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: Silivri | Statement: [Uğur Dündar, placeOfBirth, Silivri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silivri
Context triple: [Uğur Dündar, placeOfBirth, Silivri]
  • A. Silivri chosen
    Silivri is a coastal district and popular seaside resort area on the European side of Istanbul, known for its beaches, agriculture, and large high-security prison complex.
  • B. Arnavutköy
    Arnavutköy is a district on the European side of Istanbul, Turkey, known for its rapidly developing urban areas and hosting the city’s main international airport.
  • C. Ayvacık
    Ayvacık is a small town and district in Turkey’s Çanakkale Province, known for its traditional stone houses and proximity to the Aegean coast and ancient sites like Assos.
  • D. Florya
    Florya is a coastal neighborhood in Istanbul, Turkey, known for its residential areas, seaside promenade, and recreational facilities.
  • E. Bodrum
    Bodrum is a popular coastal city and resort town in southwestern Turkey, known for its beaches, nightlife, and historic landmarks such as Bodrum Castle.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b7ebb24819094bc011d51ef63fb completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde6c762848190b987cf25fa4e73a3 completed April 2, 2026, 3:47 a.m.
Created at: March 30, 2026, 5:11 p.m.