Triple

T17004240
Position Surface form Disambiguated ID Type / Status
Subject Bayonet Constitution E412527 entity
Predicate requiredConsentOf P87597 FINISHED
Object cabinet for many acts of the monarch 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: cabinet for many acts of the monarch | Statement: [Bayonet Constitution, requiredConsentOf, cabinet for many acts of the monarch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiredConsentOf
Context triple: [Bayonet Constitution, requiredConsentOf, cabinet for many acts of the monarch]
  • A. consentTypeRequired
    Indicates that a specific type or category of consent is required for the associated action or relationship to proceed.
  • B. requiresAgreementWith chosen
    Indicates that one entity’s action, decision, or validity is contingent upon obtaining consent or formal agreement from another specified entity.
  • C. requiresConsentOfParties
    Indicates that an action or agreement can only proceed if all involved parties have explicitly given their consent.
  • D. consentType
    Indicates the specific kind or category of consent that has been given, requested, or recorded in the relationship.
  • E. requiredTo
    Indicates that one entity has an obligation or necessity to perform an action or satisfy a condition in relation to another entity or context.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d380f968819097b59e7bac333ea4 completed April 18, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69e35d552bc08190af17ef7659e094ef completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:32 a.m.