Triple

T18178005
Position Surface form Disambiguated ID Type / Status
Subject European Qualifications Framework E435212 entity
Predicate abbreviation P43 FINISHED
Object EQF 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: EQF | Statement: [European Qualifications Framework, abbreviation, EQF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EQF
Context triple: [European Qualifications Framework, abbreviation, EQF]
  • A. EQF chosen
    EQF is a European reference framework that helps compare and translate qualifications across different countries’ education and training systems.
  • B. QEF
    QEF is the IATA airport code for Frankfurt Egelsbach Airport, a general aviation airfield near Frankfurt, Germany.
  • C. EQC
    EQC is a fully electric luxury compact SUV produced by Mercedes-Benz as part of its EQ lineup of battery-electric vehicles.
  • D. EQA
    EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
  • E. QF
    QF is a "qualifying facility" under the U.S. Public Utility Regulatory Policies Act (PURPA), typically a small power producer or cogeneration plant that meets specific efficiency and fuel-use standards to receive certain regulatory benefits.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5b68f081908aac8210270f1499 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:31 a.m.