Triple
T7080991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blantyre |
E164951
|
entity |
| Predicate | hasArea |
P175
|
FINISHED |
| Object | High 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: High Blantyre | Statement: [Blantyre, hasArea, High Blantyre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Blantyre Context triple: [Blantyre, hasArea, High 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.
Hillington
Hillington is a small village and civil parish in Norfolk, England, known for its rural setting and historic country estate, Hillington Hall.
-
D.
Andergrove
Andergrove is a residential suburb located within the Mackay Region on the central coast of Queensland, Australia.
-
E.
Bearsden
Bearsden is an affluent suburban town in East Dunbartonshire, Scotland, known for its residential character and proximity to Glasgow.
- 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_69c79477a79c81909b51175a24d17142 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:40 p.m.