Triple

T4236476
Position Surface form Disambiguated ID Type / Status
Subject Argyle Line E94705 entity
Predicate servesDistrict P82 FINISHED
Object Blantyre E164951 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: Blantyre | Statement: [Argyle Line, servesDistrict, Blantyre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blantyre
Context triple: [Argyle Line, servesDistrict, Blantyre]
  • A. Blantyre chosen
    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.
  • B. Blantyre
    Blantyre is Malawi’s largest commercial and industrial city, serving as a major economic and cultural hub in the country.
  • C. Cambuslang
    Cambuslang is a suburban town in Scotland situated near Glasgow, known historically for its coal mining and industrial heritage.
  • D. Larbert
    Larbert is a small town in central Scotland, situated in the Falkirk council area and historically known for its industrial heritage and transport links.
  • E. Kilwinning
    Kilwinning is a historic Scottish town in North Ayrshire, noted for its medieval abbey and strong connections to early Freemasonry.
  • 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_69bfd70b4a7c8190852503f31142562e completed March 22, 2026, 11:48 a.m.
Created at: March 12, 2026, 11:05 p.m.