Triple

T19431576
Position Surface form Disambiguated ID Type / Status
Subject Valenciennes FC E486124 entity
Predicate hasAbbreviation P43 FINISHED
Object VAFC 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: VAFC | Statement: [Valenciennes FC, hasAbbreviation, VAFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAFC
Context triple: [Valenciennes FC, hasAbbreviation, VAFC]
  • A. VAFC chosen
    VAFC is the commonly used abbreviation for Valenciennes FC, a French professional football club based in Valenciennes.
  • B. VFA
    VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
  • C. FAFC
    FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
  • D. AVFC
    AVFC is the commonly used abbreviation for Aston Villa Football Club, a professional football team based in Birmingham, England that competes in the Premier League.
  • E. FVHA
    FVHA is the ICAO airport code for Robert Gabriel Mugabe International Airport in Harare, Zimbabwe.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335b4e388190913ded15ad165b7b completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:37 p.m.