Triple

T856674
Position Surface form Disambiguated ID Type / Status
Subject Lord Lyon King of Arms E18507 entity
Predicate legalPower P17826 FINISHED
Object power to grant arms 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: power to grant arms | Statement: [Lord Lyon King of Arms, legalPower, power to grant arms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalPower
Context triple: [Lord Lyon King of Arms, legalPower, power to grant arms]
  • A. legalAuthorityOver chosen
    Indicates that one entity has the recognized power or right to make, enforce, or adjudicate rules or decisions concerning another entity.
  • B. legalAct
    Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
  • C. legalSubject
    Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
  • D. legalRepresentation
    Indicates that one entity formally acts on behalf of another in legal matters, such as providing counsel, advocacy, or defense within a legal system.
  • E. legalSignificance
    Indicates that something has recognized importance, effect, or consequence within a legal context or system.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac4d47508190b48d944aa2d881bf completed March 1, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69a4aa834a588190bca4a0eb83fb3eb6 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.