Triple

T16894926
Position Surface form Disambiguated ID Type / Status
Subject Kington–Knighton section E424273 entity
Predicate endPoint P390 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: [Kington–Knighton section, endPoint, Knighton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knighton
Context triple: [Kington–Knighton section, endPoint, 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. Quidhampton
    Quidhampton is a small village in Wiltshire, England, situated just west of Salisbury.
  • D. Cuxton
    Cuxton is a village and civil parish in the Medway unitary authority of Kent, England, situated on the River Medway.
  • E. Kintbury
    Kintbury is a rural village in Berkshire, England, known for its picturesque countryside setting and historic charm.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d7aec88190888f13601acbcd77 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7aa83bc8190832d2f3903ce0081 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.