Triple

T4313225
Position Surface form Disambiguated ID Type / Status
Subject Montreal World Film Festival E94122 entity
Predicate alsoKnownAs P39 FINISHED
Object FFM E94122 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: FFM | Statement: [Montreal World Film Festival, alsoKnownAs, FFM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FFM
Context triple: [Montreal World Film Festival, alsoKnownAs, FFM]
  • A. FFM chosen
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • B. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • C. 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.
  • D. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • E. 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.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f319c08190bb40a9fc5933728d completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75f30f48190ab030d635bd334af completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:12 p.m.