Triple

T21665107
Position Surface form Disambiguated ID Type / Status
Subject Southern Malawi E534692 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Blantyre 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: Blantyre | Statement: [Southern Malawi, hasUrbanCenter, Blantyre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blantyre
Context triple: [Southern Malawi, hasUrbanCenter, Blantyre]
  • A. 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.
  • B. Blantyre chosen
    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 (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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0b26c8819092c13e59dcc3c25c completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.