Triple

T22907844
Position Surface form Disambiguated ID Type / Status
Subject Bloemfontein Celtic F.C. E568500 entity
Predicate competition P563 FINISHED
Object MTN 8 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: MTN 8 | Statement: [Bloemfontein Celtic F.C., competition, MTN 8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTN 8
Context triple: [Bloemfontein Celtic F.C., competition, MTN 8]
  • A. MTN 8 chosen
    MTN 8 is a South African top-flight football knockout cup competition contested by the eight highest-placed teams from the previous Premier Soccer League season.
  • B. MTN8
    MTN8 is a South African knockout football (soccer) cup competition contested by the top eight teams from the Premier Soccer League.
  • C. MTN
    MTN is the IATA airport code for Martin State Airport, a public airport serving the Baltimore, Maryland area.
  • D. MTN
    MTN is the stock ticker symbol for Vail Resorts, a major operator of ski resorts and mountain recreation properties.
  • E. MTA Africa
    MTA Africa is the African regional television channel of the global Islamic network MTA International, broadcasting religious and educational content across the African continent.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18071b9ec81908922d5f046f7930a completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.