Triple

T5382324
Position Surface form Disambiguated ID Type / Status
Subject Denny E113115 entity
Predicate hasNeighbour P5707 FINISHED
Object Larbert E233250 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: Larbert | Statement: [Denny, hasNeighbour, Larbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larbert
Context triple: [Denny, hasNeighbour, Larbert]
  • A. Larbert chosen
    Larbert is a small town in central Scotland, situated in the Falkirk council area and historically known for its industrial heritage and transport links.
  • B. Galashiels
    Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
  • C. Lennoxtown
    Lennoxtown is a small Scottish town situated at the foot of the Campsie Fells, historically associated with textile and chemical industries.
  • D. Blantyre
    Blantyre is a town in South Lanarkshire, Scotland, known historically for its association with explorer David Livingstone and its proximity to the city of Hamilton.
  • E. Blantyre
    Blantyre is Malawi’s largest commercial and industrial city, serving as a major economic and cultural hub in the country.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86d163f88190939638d44fcb24a7 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8681d57c08190b72d1b010db3a065 completed March 28, 2026, 11:45 p.m.
Created at: March 20, 2026, 2:03 p.m.