Triple

T16570875
Position Surface form Disambiguated ID Type / Status
Subject Başakşehir F.K. E402578 entity
Predicate president P8 FINISHED
Object Göksel Gümüşdağ NE NERFINISHED

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: Göksel Gümüşdağ | Statement: [Başakşehir F.K., president, Göksel Gümüşdağ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Göksel Gümüşdağ
Context triple: [Başakşehir F.K., president, Göksel Gümüşdağ]
  • A. Göksel Gümüşdağ chosen
    Göksel Gümüşdağ is a Turkish businessman and football executive known for leading Istanbul Başakşehir F.K. and playing an influential role in Turkish football administration.
  • B. Erdağ Göknar
    Erdağ Göknar is a Turkish-American scholar and translator best known for his acclaimed English translations of major Turkish literary works, including novels by Orhan Pamuk and other modern Turkish authors.
  • C. Tahsin Özgüç
    Tahsin Özgüç was a prominent Turkish archaeologist renowned for his pioneering research on ancient Anatolian civilizations.
  • D. Sercan Yıldırım
    Sercan Yıldırım is a Turkish professional footballer best known as a pacey forward who rose to prominence with Bursaspor and earned caps for the Turkey national team.
  • E. Tahsin Banguoğlu
    Tahsin Banguoğlu was a Turkish linguist, academic, and politician known for his influential work on Turkish language and grammar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35958d49c8190b995188240fb355b completed April 18, 2026, 10:13 a.m.
Created at: April 10, 2026, 5:16 a.m.