Triple

T13838050
Position Surface form Disambiguated ID Type / Status
Subject Llinell Calon Cymru E332580 entity
Predicate passesThrough P225 FINISHED
Object Knighton E232423 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: Knighton | Statement: [Llinell Calon Cymru, passesThrough, Knighton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knighton
Context triple: [Llinell Calon Cymru, passesThrough, Knighton]
  • A. Knighton chosen
    Knighton is a small market town on the English–Welsh border, known for its position on Offa’s Dyke and its surrounding rural landscapes.
  • B. Knelston
    Knelston is a small rural village located on the Gower Peninsula in South Wales, known for its scenic coastal surroundings and traditional Welsh character.
  • C. Cuxton
    Cuxton is a village and civil parish in the Medway unitary authority of Kent, England, situated on the River Medway.
  • D. Kintbury
    Kintbury is a rural village in Berkshire, England, known for its picturesque countryside setting and historic charm.
  • E. Bedworth
    Bedworth is a small market town in Warwickshire, England, situated between Coventry and Nuneaton and known historically for coal mining and ribbon weaving.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f4318881909f6541f40ef87856 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.