Triple
T23043847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinyanja |
E573818
|
entity |
| Predicate | spokenInCity |
P8343
|
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: [Cinyanja, spokenInCity, Blantyre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blantyre Context triple: [Cinyanja, spokenInCity, 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18517083c8190a0850da5440e0a73 |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:54 p.m.