Triple

T4562732
Position Surface form Disambiguated ID Type / Status
Subject Chemins de fer fédéraux suisses E121833 entity
Predicate abbreviation P43 FINISHED
Object FFS E112375 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: FFS | Statement: [Chemins de fer fédéraux suisses, abbreviation, FFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FFS
Context triple: [Chemins de fer fédéraux suisses, abbreviation, FFS]
  • A. FFS chosen
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • B. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • C. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • D. 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.
  • E. FFD
    FFD is the IATA airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England, used by both the UK and United States air forces and known for hosting major airshows.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd582f21648190b49284eb61b618c9 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc5a2a97081909c9c064924fcaa22 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.