Triple

T11727379
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Football Club E278804 entity
Predicate nickname P55 FINISHED
Object CLTFC E278805 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: CLTFC | Statement: [Charlotte Football Club, nickname, CLTFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLTFC
Context triple: [Charlotte Football Club, nickname, CLTFC]
  • A. CLTFC chosen
    CLTFC is an abbreviation commonly used for Charlotte FC, the Major League Soccer club based in Charlotte, North Carolina.
  • B. TFC
    TFC is a professional Major League Soccer club based in Toronto, Ontario, known for its passionate fan base and home matches at BMO Field.
  • C. TFC
    TFC is an international Filipino television network and streaming service that broadcasts a wide range of Philippine-produced shows, movies, and news to audiences worldwide.
  • D. TFC
    TFC is the stock ticker symbol for Truist Financial Corporation, a major U.S. bank holding company formed from the merger of BB&T and SunTrust.
  • E. TFC
    TFC is the common abbreviation for Toulouse FC, a professional football club based in Toulouse, France that competes in Ligue 1.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d70d908190b5f47c2ef501a191 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83e9efdc8190830f9b9cb5362b1c completed April 27, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:41 p.m.