Triple

T26434532
Position Surface form Disambiguated ID Type / Status
Subject Brycheiniog E664602 entity
Predicate historicalCountyCorrespondence P1069 FINISHED
Object Brecknockshire NE NERFINISHED

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: Brecknockshire | Statement: [Brycheiniog, historicalCountyCorrespondence, Brecknockshire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalCountyCorrespondence
Context triple: [Brycheiniog, historicalCountyCorrespondence, Brecknockshire]
  • A. historicalCountyChange
    Indicates that a county’s administrative boundaries or status have been altered over time, such as through creation, dissolution, merger, or territorial reassignment.
  • B. historicalCounty chosen
    Indicates that an entity was located within or associated with a county as it existed in the past, even if that county’s boundaries or administrative status have since changed.
  • C. hasHistoricCountyCode
    Indicates that an entity is associated with a specific historic county, identified by its county code.
  • D. hasAssociatedHistoricCounty
    Indicates that an entity is linked to a specific historic county with which it is geographically or administratively associated.
  • E. hasHistoricCountyNumber
    Indicates that an entity is associated with a specific identifier corresponding to its historic county designation.
  • 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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f7c29e1b848190b945c6c6120a5330 completed May 3, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f7c1b6e7a881908deb96bedb2713f4 completed May 3, 2026, 9:44 p.m.
Created at: April 26, 2026, 11:52 p.m.