Triple

T10153054
Position Surface form Disambiguated ID Type / Status
Subject Ortaköy E232697 entity
Predicate near P350 FINISHED
Object Beşiktaş center E484324 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: Beşiktaş center | Statement: [Ortaköy, near, Beşiktaş center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beşiktaş center
Context triple: [Ortaköy, near, Beşiktaş center]
  • A. Beşiktaş district chosen
    Beşiktaş district is a central and historic area on Istanbul’s European shore, known for its waterfront along the Bosphorus, cultural landmarks, and vibrant urban life.
  • B. Başakşehir
    Başakşehir is a modern residential and commercial district on the European side of Istanbul, known for its planned urban development and growing population.
  • C. Fenerbahçe Ülker
    Fenerbahçe Ülker was the professional basketball team of the Turkish multi-sport club Fenerbahçe, competing at the top level in Turkey and in European competitions.
  • D. Göztepe
    Göztepe is a coastal residential neighborhood in Istanbul, Turkey, known for its parks, seaside promenade, and location on the Asian side of the city.
  • E. Mersin İdman Yurdu
    Mersin İdman Yurdu is a Turkish professional football club based in the city of Mersin, historically competing in the country's top leagues.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e64b5a40819093f29ec34cb0a763 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.