Triple

T2584570
Position Surface form Disambiguated ID Type / Status
Subject Dwyfor Meirionnydd E57167 entity
Predicate borderedBy P224 FINISHED
Object Montgomeryshire E13915 NE 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: Montgomeryshire | Statement: [Dwyfor Meirionnydd, borderedBy, Montgomeryshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgomeryshire
Context triple: [Dwyfor Meirionnydd, borderedBy, Montgomeryshire]
  • A. Montgomeryshire chosen
    Montgomeryshire is a historic county and former parliamentary constituency in mid-Wales, known for its rural landscape and market towns such as Newtown and Welshpool.
  • B. Carmarthenshire
    Carmarthenshire is a largely rural county in southwest Wales known for its market towns, rich agricultural land, and scenic landscapes stretching from the Tywi Valley to the Carmarthen Bay coast.
  • C. Monmouthshire
    Monmouthshire is a historic county and principal area in southeast Wales, known for its rural landscapes, market towns, and rich medieval heritage.
  • D. Powys
    Powys is a large, predominantly rural county in mid-Wales known for its mountainous landscapes, market towns, and extensive agricultural areas.
  • E. Radnorshire
    Radnorshire is a historic county in mid-Wales known for its rural landscapes, small market towns, and incorporation into the modern county of Powys.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3cb33a08190a3eae1a95e1b63bf completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f0f4088190ba66d5e3c6642c9a completed March 21, 2026, 5:44 p.m.
Created at: March 6, 2026, 9:49 p.m.