Triple

T27638277
Position Surface form Disambiguated ID Type / Status
Subject Europe à plusieurs vitesses E696521 entity
Predicate débattuPar P57127 FINISHED
Object chercheurs en science politique 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: chercheurs en science politique | Statement: [Europe à plusieurs vitesses, débattuPar, chercheurs en science politique]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: débattuPar
Context triple: [Europe à plusieurs vitesses, débattuPar, chercheurs en science politique]
  • A. debatedAs
    Indicates that one entity is discussed or argued over in terms of being equivalent to, or serving in the role of, another entity within a debate or comparative argument.
  • B. debatedWithin chosen
    Indicates that something is discussed or argued about within a particular group, context, or domain.
  • C. debatedBetween
    Indicates a situation in which two or more parties engage in a discussion or argument over differing views about a particular issue or topic.
  • D. hasDebateAround
    Indicates that there is ongoing discussion, disagreement, or controversy surrounding the referenced entity or topic.
  • E. debatedAt
    Indicates that a debate or formal discussion involving the subject took place at the specified location or event.
  • 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_69f63894e5848190aec428392562ab06 completed May 2, 2026, 5:47 p.m.
PD Predicate disambiguation batch_69f6370c8c7c8190a02ea82847bb6e76 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 2:25 p.m.