Triple

T27638271
Position Surface form Disambiguated ID Type / Status
Subject Europe à plusieurs vitesses E696521 entity
Predicate conséquencePotentielle P92478 FINISHED
Object création de cercles concentriques d’intégration 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: création de cercles concentriques d’intégration | Statement: [Europe à plusieurs vitesses, conséquencePotentielle, création de cercles concentriques d’intégration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conséquencePotentielle
Context triple: [Europe à plusieurs vitesses, conséquencePotentielle, création de cercles concentriques d’intégration]
  • A. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • B. consequenceInText
    Indicates that one event, action, or state is presented in the text as a consequence or result of another.
  • C. consequenceOfInfluence
    Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
  • D. hasConsequenceHypothesis chosen
    Indicates that one situation, event, or statement is hypothesized to lead to or imply a particular consequence.
  • E. unexpectedConsequenceOf
    Indicates that one event, action, or condition occurs as an unforeseen or unintended result of another.
  • 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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6359e3d3c81909814e2f0a7fb0ea9 completed May 2, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f631871c888190bf29466fe4254e51 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 2:25 p.m.