Triple

T13496514
Position Surface form Disambiguated ID Type / Status
Subject Décret n° 2014-168 du 17 février 2014 E320774 entity
Predicate niveauNormatif P49596 FINISHED
Object décret en Conseil d’État LITERAL 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: décret en Conseil d’État | Statement: [Décret n° 2014-168 du 17 février 2014, niveauNormatif, décret en Conseil d’État]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: niveauNormatif
Context triple: [Décret n° 2014-168 du 17 février 2014, niveauNormatif, décret en Conseil d’État]
  • A. levelOfNorm chosen
    Indicates the degree or extent to which something conforms to a specified norm, standard, or expected behavior.
  • B. normativeFor
    Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
  • C. normativeGoal
    Indicates that one entity is a desired or prescribed objective, standard, or end state that another entity ought to pursue or realize.
  • D. normativelyEmphasizes
    Indicates that one entity highlights, prioritizes, or stresses another entity as a standard, value, or principle that ought to be followed or given special importance.
  • E. normativelyIncludes
    Indicates that one norm or rule encompasses, subsumes, or otherwise includes another within its prescribed scope or requirements.
  • F. None of above.

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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4e9ca4819083116890a65389f9 completed April 12, 2026, 2:42 p.m.
PD Predicate disambiguation batch_69dbae06061881909a6a6032e0507587 completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:43 p.m.