Triple

T27638270
Position Surface form Disambiguated ID Type / Status
Subject Europe à plusieurs vitesses E696521 entity
Predicate conséquencePotentielle P812 FINISHED
Object fragmentation politique de l’Union européenne 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: fragmentation politique de l’Union européenne | Statement: [Europe à plusieurs vitesses, conséquencePotentielle, fragmentation politique de l’Union européenne]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conséquencePotentielle
Context triple: [Europe à plusieurs vitesses, conséquencePotentielle, fragmentation politique de l’Union européenne]
  • A. hasConsequence chosen
    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
    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_69f6318e4c9c8190960df19eed7546fa completed May 2, 2026, 5:17 p.m.
PD Predicate disambiguation batch_69f62c1921008190a62675a31f66a875 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 2:25 p.m.