Triple

T23143285
Position Surface form Disambiguated ID Type / Status
Subject Chippa Mpengesi E577517 entity
Predicate employer P7 FINISHED
Object Chippa United FC 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: Chippa United FC | Statement: [Chippa Mpengesi, employer, Chippa United FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chippa United FC
Context triple: [Chippa Mpengesi, employer, Chippa United FC]
  • A. Chippa United F.C. chosen
    Chippa United F.C. is a South African professional football club that competes in the country’s Premier Division.
  • B. Mbabane Highlanders F.C.
    Mbabane Highlanders F.C. is one of Eswatini’s oldest and most successful football clubs, based in the capital city of Mbabane.
  • C. Sekhukhune United F.C.
    Sekhukhune United F.C. is a South African professional football club that competes in the country’s top-tier Premier Soccer League.
  • D. Richards Bay F.C.
    Richards Bay F.C. is a South African professional football club that competes in the country’s top-tier Premier Soccer League.
  • E. AmaZulu F.C.
    AmaZulu F.C. is a professional South African football club based in Durban that competes in the country’s top-tier league.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecc3710819088ac5d72dad0459a completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.