Triple

T25131694
Position Surface form Disambiguated ID Type / Status
Subject Monsieur le Président E629538 entity
Predicate addressedRole P29167 FINISHED
Object presiding officer of the French Senate 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: presiding officer of the French Senate | Statement: [Monsieur le Président, addressedRole, presiding officer of the French Senate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: addressedRole
Context triple: [Monsieur le Président, addressedRole, presiding officer of the French Senate]
  • A. roleInAddressing
    Indicates the specific function or responsibility an entity has in dealing with or responding to a particular issue, situation, or task.
  • B. addressesRole chosen
    Indicates that one entity directs communication, content, or action specifically toward another entity in its capacity or function as a particular role.
  • C. representedRole
    Indicates that one entity serves as a stand-in, proxy, or representative performing a role on behalf of another entity.
  • D. providedRole
    Indicates that one entity has assigned or supplied a specific role or function to another entity.
  • E. acknowledgesRoleOf
    Indicates that one entity explicitly recognizes and accepts the position, function, or authority that another entity holds.
  • 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_69e2ff338250819096ff6c8892804389 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f465f9abe48190863be7824dcbd48c completed May 1, 2026, 8:36 a.m.
PD Predicate disambiguation batch_69f45cfb53f4819099bba48c5057e787 completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 6:28 a.m.