Triple

T4390820
Position Surface form Disambiguated ID Type / Status
Subject European Qualifications Framework E99357 entity
Predicate abbreviation P43 FINISHED
Object EQF
EQF is a European reference framework that helps compare and translate qualifications across different countries’ education and training systems.
 E435212 NE FINISHED

How this triple was built (4 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. EQA
    EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
  • B. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • C. FEQ
    FEQ is a major annual summer music festival held in Quebec City, Canada, featuring a wide range of international and local artists across multiple genres.
  • D. EQE
    EQE is a fully electric executive sedan from Mercedes-Benz’s EQ lineup, positioned as a mid-size luxury alternative to the traditional E-Class.
  • E. QFC
    QFC is a regional supermarket chain in the Pacific Northwest of the United States, operating as a subsidiary of Kroger.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EQF
Triple: [European Qualifications Framework, abbreviation, EQF]
Generated description
EQF is a European reference framework that helps compare and translate qualifications across different countries’ education and training systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EQF
Target entity description: EQF is a European reference framework that helps compare and translate qualifications across different countries’ education and training systems.
  • A. EQA
    EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
  • B. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • C. FEQ
    FEQ is a major annual summer music festival held in Quebec City, Canada, featuring a wide range of international and local artists across multiple genres.
  • D. EQE
    EQE is a fully electric executive sedan from Mercedes-Benz’s EQ lineup, positioned as a mid-size luxury alternative to the traditional E-Class.
  • E. QFC
    QFC is a regional supermarket chain in the Pacific Northwest of the United States, operating as a subsidiary of Kroger.
  • F. None of above. chosen

Provenance (5 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352843d7c8190929b94c94eaa63df completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e530428881908d125971263bd747 completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5e629115881908436a81b5774ac24 completed March 14, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69b5e68c960c8190a946574120a50047 completed March 14, 2026, 10:51 p.m.
Created at: March 12, 2026, 11:19 p.m.