Triple

T7080970
Position Surface form Disambiguated ID Type / Status
Subject Blantyre E164951 entity
Predicate locatedNear P294 FINISHED
Object Cambuslang E333565 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: Cambuslang | Statement: [Blantyre, locatedNear, Cambuslang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambuslang
Context triple: [Blantyre, locatedNear, Cambuslang]
  • A. Cambuslang chosen
    Cambuslang is a suburban town in Scotland situated near Glasgow, known historically for its coal mining and industrial heritage.
  • B. 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.
  • C. Blantyre
    Blantyre is Malawi’s largest commercial and industrial city, serving as a major economic and cultural hub in the country.
  • D. Callander
    Callander is a small Scottish town in the Stirling council area, often considered a gateway to the Highlands and popular for outdoor tourism.
  • E. Callander
    Callander is a small town in northeastern Ontario, Canada, situated on the shores of Lake Nipissing and known for its scenic waterfront and recreational tourism.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4f1f5748190b214856bcfc70d81 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9251db3388190b8b0ac7549647887 completed March 29, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:40 p.m.