Triple

T7862175
Position Surface form Disambiguated ID Type / Status
Subject Istanbul Province E182524 entity
Predicate hasDistrict P459 FINISHED
Object Başakşehir E646547 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: Başakşehir | Statement: [Istanbul Province, hasDistrict, Başakşehir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Başakşehir
Context triple: [Istanbul Province, hasDistrict, Başakşehir]
  • A. Başakşehir chosen
    Başakşehir is a modern residential and commercial district on the European side of Istanbul, known for its planned urban development and growing population.
  • B. 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.
  • C. Kayserispor
    Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
  • D. Başakşehir F.K.
    Başakşehir F.K. is a professional Turkish football club based in Istanbul that has emerged as a modern, competitive force in the country’s top division.
  • E. Kocaelispor
    Kocaelispor is a Turkish professional football club based in İzmit, known for its passionate fan base and regional rivalries in the Marmara region.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36be5f408190b82a097b0825c57a completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b49a7288190ae6758647fb35ac9 completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:53 p.m.