Triple

T11700488
Position Surface form Disambiguated ID Type / Status
Subject Georgia national under-21 football team E278109 entity
Predicate governingBodyAbbreviation P2886 FINISHED
Object GFF E278390 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: GFF | Statement: [Georgia national under-21 football team, governingBodyAbbreviation, GFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GFF
Context triple: [Georgia national under-21 football team, governingBodyAbbreviation, GFF]
  • A. GFF chosen
    GFF is the commonly used abbreviation for the Georgian Football Federation, the governing body of football in Georgia.
  • B. GFF
    GFF is the IATA airport code for Griffith Airport, a regional airport serving Griffith in New South Wales, Australia.
  • C. EGFF
    EGFF is the ICAO airport code for Cardiff Airport, the main international airport serving Cardiff and South Wales.
  • D. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • E. GDF
    GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49a025881909377c81d3debf465 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef834244308190b435e49371d6a6e1 completed April 27, 2026, 3:39 p.m.
Created at: April 8, 2026, 9:40 p.m.