Triple

T18175885
Position Surface form Disambiguated ID Type / Status
Subject Shotts Burn E435156 entity
Predicate flowsThrough P225 FINISHED
Object Shotts 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: Shotts | Statement: [Shotts Burn, flowsThrough, Shotts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shotts
Context triple: [Shotts Burn, flowsThrough, Shotts]
  • A. Shotts chosen
    Shotts is a small town in central Scotland known historically for its coal mining and industrial heritage.
  • B. Coatbridge
    Coatbridge is a town in North Lanarkshire, Scotland, historically known for its heavy industry and ironworks during the 19th century.
  • C. Uddingston
    Uddingston is a suburban town in Scotland, situated near Glasgow and known for its residential character and local amenities.
  • D. Cumbernauld
    Cumbernauld is a post-war new town in North Lanarkshire, Scotland, known for its modernist planning and distinctive, often-criticized town centre architecture.
  • 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 (2 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df59bf3881909adc28cacbe9cb39 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.