Triple

T6237207
Position Surface form Disambiguated ID Type / Status
Subject Chippa United F.C. E139505 entity
Predicate shortName P43 FINISHED
Object Chippa United E139505 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: Chippa United | Statement: [Chippa United F.C., shortName, Chippa United]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chippa United
Context triple: [Chippa United F.C., shortName, Chippa United]
  • 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. 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.
  • D. Chippa Mpengesi
    Chippa Mpengesi is a South African businessman best known as the owner and founder of Premier Soccer League club Chippa United FC.
  • E. SuperSport United F.C.
    SuperSport United F.C. is a professional football club based in Pretoria, South Africa, competing in the country’s top division and known for its strong performances in domestic competitions.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063021258819093a9237041816638 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3e5bd988190ad9b0af668f5b05c completed March 27, 2026, 1:56 a.m.
Created at: March 22, 2026, 4:23 p.m.