Triple

T36942320
Position Surface form Disambiguated ID Type / Status
Subject Dames Grand Cross of the Order of St Michael and St George E913803 entity
Predicate regionOfServiceEmphasised P82 FINISHED
Object overseas territories 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: overseas territories | Statement: [Dames Grand Cross of the Order of St Michael and St George, regionOfServiceEmphasised, overseas territories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionOfServiceEmphasised
Context triple: [Dames Grand Cross of the Order of St Michael and St George, regionOfServiceEmphasised, overseas territories]
  • A. strategicAreaServed
    Indicates that an entity provides services or exerts influence within a particular area considered strategically important.
  • B. areaOfService
    Indicates the geographic or functional region within which a service is provided or applicable.
  • C. areaServed chosen
    Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
  • D. regionServedFromHub
    Indicates that a particular region receives its services, operations, or logistical support from a specified hub location.
  • E. hasPrimaryServiceArea
    Indicates that an entity is associated with a main geographic or functional area in which it primarily provides its services.
  • 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_69f76e8a6a5c81909c1febf32bf3fe23 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a0045a7b4c081908e4dedabda7cf790 completed May 10, 2026, 8:45 a.m.
PD Predicate disambiguation batch_6a0042b148a48190974b173f352e4b7f completed May 10, 2026, 8:32 a.m.
Created at: May 3, 2026, 4:13 p.m.