Triple

T96164
Position Surface form Disambiguated ID Type / Status
Subject Crown Office E1935 entity
Predicate governsTopic P450 FINISHED
Object honours and awards 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: honours and awards | Statement: [Crown Office, governsTopic, honours and awards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governsTopic
Context triple: [Crown Office, governsTopic, honours and awards]
  • A. governs
    Indicates that one entity exercises authoritative control, direction, or rule over another entity or domain.
  • B. governedAs
    Indicates that one entity exercises authoritative control, direction, or rule over another according to some system of governance or leadership.
  • C. subjectMatter chosen
    Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
  • D. governance
    Indicates the relationship in which one entity exercises authority, control, or decision-making power over the policies, actions, or direction of another entity or system.
  • E. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a250cb400c8190b56343bbe19b48c7 completed Feb. 28, 2026, 2:19 a.m.
PD Predicate disambiguation batch_69a24ebd19c48190bab291fea0ecc0c2 completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.