Triple

T25815255
Position Surface form Disambiguated ID Type / Status
Subject Democratic Union for the Fifth Republic E650230 entity
Predicate supportedInstitutionalModel P53330 FINISHED
Object strong presidential regime 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: strong presidential regime | Statement: [Democratic Union for the Fifth Republic, supportedInstitutionalModel, strong presidential regime]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportedInstitutionalModel
Context triple: [Democratic Union for the Fifth Republic, supportedInstitutionalModel, strong presidential regime]
  • A. supportsInstitution
    Indicates that one entity provides assistance, resources, or endorsement to help sustain or advance an institution.
  • B. supportsInstitutionType
    Indicates that one entity provides backing, resources, or endorsement specifically for a particular type or category of institution.
  • C. primaryInstitutionSupported
    Indicates that one institution serves as the main or principal organization providing support to another entity.
  • D. institutionalModel chosen
    Indicates the organizational or structural framework under which an institution is designed, governed, or operates.
  • E. hasInstitutionalSupport
    Indicates that an entity receives backing, endorsement, or resources from an established institution or organization.
  • 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_69e7ab367fcc8190a5ff1e7f3da046a4 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: April 22, 2026, 7:25 a.m.