Triple

T13812599
Position Surface form Disambiguated ID Type / Status
Subject France women's national rugby union team E331929 entity
Predicate federationAbbreviation P17572 FINISHED
Object FFR E331928 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: FFR | Statement: [France women's national rugby union team, federationAbbreviation, FFR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FFR
Context triple: [France women's national rugby union team, federationAbbreviation, FFR]
  • A. FFR chosen
    FFR is the commonly used abbreviation for the French Rugby Federation, the governing body for rugby union in France.
  • B. FFRRO
    FFRRO is a U.S. Environmental Protection Agency office that oversees the cleanup, restoration, and reuse of contaminated federal facilities such as military bases and government sites.
  • C. FRR
    FRR is the IATA airport code for Front Royal–Warren County Airport, a public airport serving the Front Royal area in Virginia, United States.
  • D. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • E. FFS
    FFS is a high-performance file system originally developed for BSD Unix that introduced improved disk layout and efficiency over earlier Unix file systems.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de027198f8819095da3e714ac241f5 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e6d5cc819087ccdbfc00f16542 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:12 p.m.