Triple

T2013097
Position Surface form Disambiguated ID Type / Status
Subject Ceredigion E43732 entity
Predicate createdAsPrincipalArea P18356 FINISHED
Object 1996 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: 1996 | Statement: [Ceredigion, createdAsPrincipalArea, 1996]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: createdAsPrincipalArea
Context triple: [Ceredigion, createdAsPrincipalArea, 1996]
  • A. createdUnderAdministrationOf
    Indicates that something was created during the period when a particular person, group, or authority was in charge or held administrative control.
  • B. createdAs
    Indicates that one entity was originally made, designed, or brought into existence in the form, role, or identity specified by another entity.
  • C. createdForJurisdiction chosen
    Indicates that something was created specifically to apply within, serve, or be used by a particular legal or geographic jurisdiction.
  • D. createdAgencyWithin
    Indicates that one entity established or formed an agency or organizational unit within the scope, structure, or authority of another entity.
  • E. primaryArea
    Indicates that one entity is the main or most important area, domain, or field associated with 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b42d508190bf2b63132bb2ad77 completed March 7, 2026, 5:33 a.m.
PD Predicate disambiguation batch_69abb7a03a1c81909ad50d56667db2d5 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:37 p.m.