Triple

T24328871
Position Surface form Disambiguated ID Type / Status
Subject Lord Lieutenant of Kincardineshire E613179 entity
Predicate officeHolderRoleOf P75581 FINISHED
Object British monarch’s personal representative in Kincardineshire 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: British monarch’s personal representative in Kincardineshire | Statement: [Lord Lieutenant of Kincardineshire, officeHolderRoleOf, British monarch’s personal representative in Kincardineshire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeHolderRoleOf
Context triple: [Lord Lieutenant of Kincardineshire, officeHolderRoleOf, British monarch’s personal representative in Kincardineshire]
  • A. officeHolderRoleFor
    Indicates that a specific role or position is held by an office holder within an organization or governing body.
  • B. officeHolderRoleIn chosen
    Indicates that an entity holds or has held a specific role or position within a particular office or organizational context.
  • C. officeHolderOf
    Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
  • D. officeHoldersHaveRole
    Indicates that individuals or entities holding an office possess or are assigned a specific role associated with that office.
  • E. officeHolderOccupation
    Indicates that the occupation describes the role or job held by an office holder.
  • 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_69e2d7db6d5c819091194918157a7c1f completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f292ef86ec8190b27bc8cdff6c5c81 completed April 29, 2026, 11:23 p.m.
PD Predicate disambiguation batch_69f287ad30048190b3ad3613486f277f completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 1:54 a.m.