Triple
T188652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa |
E3669
|
entity |
| Predicate | province |
P604
|
FINISHED |
| Object | North West |
E10864
|
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: North West | Statement: [South Africa, province, North West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North West Context triple: [South Africa, province, North West]
-
A.
North West
chosen
North West is the daughter of American rapper Kanye West and reality television star Kim Kardashian, known for her appearances in the media and fashion world from a young age.
-
B.
North East
North East is a rural town in northeastern Dutchess County, New York, known for its agricultural landscape and the village of Millerton.
-
C.
Merseyside
Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
-
D.
Midlands
The Midlands is a central region of England known for its mix of major industrial cities, historic towns, and rural landscapes, lying between the north and south of the country.
-
E.
Golden Horseshoe
The Golden Horseshoe is a densely populated and industrialized region in southern Ontario, Canada, that curves around the western end of Lake Ontario and includes the Greater Toronto Area.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2594abeec8190a48f36817e647fcd |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a30287094c8190ad4669e856a29f6c |
completed | Feb. 28, 2026, 2:58 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.