Triple

T19351857
Position Surface form Disambiguated ID Type / Status
Subject Regio E484040 entity
Predicate operatorAbbreviation P43 FINISHED
Object CFF 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: CFF | Statement: [Regio, operatorAbbreviation, CFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CFF
Context triple: [Regio, operatorAbbreviation, CFF]
  • A. CFF chosen
    CFF is the French-language abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • B. FFC
    FFC is the common abbreviation for Fluminense Football Club, a traditional Brazilian sports club best known for its professional football team based in Rio de Janeiro.
  • C. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • D. C.C.F.
    C.C.F. is a member of Theodore Unit, the Staten Island-based hip hop collective associated with Wu-Tang Clan rapper Ghostface Killah.
  • E. CCFC
    CCFC is the commonly used abbreviation for Cardiff City Football Club, a professional football team based in Cardiff, Wales.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61904a878819084d58ed3b7d8a978 completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.