Triple

T31329029
Position Surface form Disambiguated ID Type / Status
Subject General council of France E798973 entity
Predicate successorBodyNameChange P3901 FINISHED
Object Departmental council 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: Departmental council | Statement: [General council of France, successorBodyNameChange, Departmental council]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorBodyNameChange
Context triple: [General council of France, successorBodyNameChange, Departmental council]
  • A. successorNameChange
    Indicates that an entity’s name has been changed to a new name that succeeds or replaces its previous name.
  • B. successorBody chosen
    Indicates that one body or entity directly follows and replaces another in a sequence or succession.
  • C. successorNameForm
    Indicates that the object is the name or naming form used for the successor entity that follows the subject in a sequence or lineage.
  • D. nicknameOfSuccessor
    Indicates that one entity is a nickname or informal name used to refer to another entity that is its successor.
  • E. successorBodyStyleChange
    Indicates that one body style directly follows and replaces another in a sequence of design or model changes.
  • 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_69f224e3238c8190b2291f50ea4962cd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fef2db323c8190821bda53f22a42be completed May 9, 2026, 8:39 a.m.
PD Predicate disambiguation batch_69fef21d63c88190abf6a99b59b3c655 completed May 9, 2026, 8:36 a.m.
Created at: April 29, 2026, 9:16 p.m.