Triple

T26965585
Position Surface form Disambiguated ID Type / Status
Subject BGE [volume] [section] [page] E679163 entity
Predicate equivalentCollectionNameFrench P7000 FINISHED
Object Arrêts du Tribunal fédéral NE NERFINISHED

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: Arrêts du Tribunal fédéral | Statement: [BGE [volume] [section] [page], equivalentCollectionNameFrench, Arrêts du Tribunal fédéral]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: equivalentCollectionNameFrench
Context triple: [BGE [volume] [section] [page], equivalentCollectionNameFrench, Arrêts du Tribunal fédéral]
  • A. nameInFrench
    Indicates that an entity is known or referred to by a specific name expressed in the French language.
  • B. equivalentTitleInFrench chosen
    Indicates that one entity’s title is the equivalent or corresponding title of another entity, specifically expressed in French.
  • C. isFrancophoneCounterpartOf
    Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
  • D. equivalentFrenchPostNominal
    Indicates that one entity has a corresponding or matching French post-nominal form equivalent to that of another entity.
  • E. equivalentNameInBreton
    Indicates that two entities share the same name when expressed in the Breton language.
  • 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_69eeeb4f3a448190b1e94b2d4776c16e completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641dc8ff48190ab575d855616580c completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 6:35 a.m.