Triple

T1289921
Position Surface form Disambiguated ID Type / Status
Subject Constitution of the Year X E27521 entity
Predicate governmentTypeStrengthened P28139 FINISHED
Object executive branch of France 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: executive branch of France | Statement: [Constitution of the Year X, governmentTypeStrengthened, executive branch of France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentTypeStrengthened
Context triple: [Constitution of the Year X, governmentTypeStrengthened, executive branch of France]
  • A. governmentType
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • B. governmentTypeSupported
    Indicates that an entity endorses, backs, or is in favor of a particular form or system of government.
  • C. typeOfGovernmentAfter
    Indicates the form of government that exists or is established in a place following a specified event or time period.
  • D. governmentBodyType
    Indicates the classification or category of a governmental organization based on its structural or functional role.
  • E. governingBodyOfType
    Indicates that an entity serves as the official governing body for another entity of a specified type or category.
  • F. None of above. chosen

Provenance (4 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d4dfb081908c8825d6062b1d99 completed March 1, 2026, 10:42 p.m.
PD Predicate disambiguation batch_69a4bee41ca08190b0ad6f7ea40c0b62 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4bfa205ec81909d8170b398345615 completed March 1, 2026, 10:37 p.m.
Created at: March 1, 2026, 7:51 p.m.