Triple

T21630406
Position Surface form Disambiguated ID Type / Status
Subject Siphiwe Tshabalala E533813 entity
Predicate memberOfSportsTeam P330 FINISHED
Object BB Erzurumspor 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: BB Erzurumspor | Statement: [Siphiwe Tshabalala, memberOfSportsTeam, BB Erzurumspor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BB Erzurumspor
Context triple: [Siphiwe Tshabalala, memberOfSportsTeam, BB Erzurumspor]
  • A. BB Erzurumspor chosen
    BB Erzurumspor is a Turkish professional football club based in Erzurum that competes in the country's league system.
  • B. Boluspor
    Boluspor is a Turkish professional football club based in the city of Bolu that competes in the country’s football league system.
  • C. Kayseri Erciyesspor
    Kayseri Erciyesspor is a Turkish professional football club based in Kayseri that has competed in the country’s top leagues under various names throughout its history.
  • D. Akınspor
    Akınspor was a Turkish football club that became one of the predecessor teams merged to form Eskişehirspor.
  • E. Bursaspor
    Bursaspor is a professional Turkish sports club best known for its football team, which has competed in the country’s top leagues and is based in the city of Bursa.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef521679fc81909c94d42439fda4ba completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.