Triple

T4236468
Position Surface form Disambiguated ID Type / Status
Subject Argyle Line E94705 entity
Predicate servesTown P847 FINISHED
Object Larkhall E310206 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: Larkhall | Statement: [Argyle Line, servesTown, Larkhall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larkhall
Context triple: [Argyle Line, servesTown, Larkhall]
  • A. Larkhall chosen
    Larkhall is a small town in central Scotland known historically for its mining and industrial heritage.
  • B. Larkhall
    Larkhall is a district and electoral ward in the London Borough of Lambeth, known for its residential streets, local parks, and proximity to central London.
  • C. Carluke
    Carluke is a small town in South Lanarkshire, Scotland, known historically for agriculture and fruit growing and now largely serving as a commuter town.
  • D. Grantshouse
    Grantshouse is a small rural village in the Scottish Borders region of southeastern Scotland.
  • E. Lennoxtown
    Lennoxtown is a small Scottish town situated at the foot of the Campsie Fells, historically associated with textile and chemical industries.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e7422a88190955f5f4347fa80d2 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77632d08190ab7c12986e2cee61 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:05 p.m.