Triple

T1467352
Position Surface form Disambiguated ID Type / Status
Subject Economic, Social and Environmental Council of France E27053 entity
Predicate addedCompetence P18508 FINISHED
Object environmental matters after 2008 reform 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: environmental matters after 2008 reform | Statement: [Economic, Social and Environmental Council of France, addedCompetence, environmental matters after 2008 reform]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: addedCompetence
Context triple: [Economic, Social and Environmental Council of France, addedCompetence, environmental matters after 2008 reform]
  • A. hasCompetence
    Indicates that an entity possesses the ability, skill, or qualification to perform a specific task or function effectively.
  • B. competence
    Indicates that an entity has the ability, skill, or qualification to perform a task or fulfill a role effectively.
  • C. competenceArea chosen
    Indicates that one entity has a particular domain, field, or area in which it possesses competence, expertise, or responsibility.
  • D. addedTo
    Indicates that one entity has been included or incorporated into another entity, typically as a new component, member, or element.
  • E. associatedAchievement
    Indicates a relationship where one entity is linked to, or recognized in connection with, a particular achievement.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5bcfa0881909d6137c69825bc7a completed March 1, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69a4c48121e48190946c23c583e5fb64 completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:01 p.m.