Triple

T11096167
Position Surface form Disambiguated ID Type / Status
Subject DG Environment E262384 entity
Predicate abbreviation P43 FINISHED
Object DG ENV E262384 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: DG ENV | Statement: [DG Environment, abbreviation, DG ENV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DG ENV
Context triple: [DG Environment, abbreviation, DG ENV]
  • A. DG Environment chosen
    DG Environment is the European Commission department responsible for developing and implementing EU environmental policies and legislation.
  • B. ENVA
    ENVA is the ICAO airport code for Trondheim Airport, Værnes, a major international airport serving the Trondheim region in Norway.
  • C. ENV
    ENV is the College of Environmental Design at California State Polytechnic University, Pomona, which focuses on disciplines such as architecture, landscape architecture, and urban and regional planning.
  • D. FE Environmental
    FE Environmental is a discipline-specific version of the Fundamentals of Engineering exam focused on testing knowledge and skills in environmental engineering.
  • E. DG ENER
    DG ENER is the European Commission department responsible for developing and implementing EU energy policy, including security of supply, sustainability, and the internal energy market.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0897188190b6c293b44990b3d4 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d69c8b4819092614e83e855430e completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.