Triple
T16368452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilbur Smith |
E397497
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Kabwe |
E397497
|
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: Kabwe | Statement: [Wilbur Smith, placeOfBirth, Kabwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabwe Context triple: [Wilbur Smith, placeOfBirth, Kabwe]
-
A.
Kabwe, Zambia
chosen
Kabwe, Zambia is a central Zambian town historically known as a major mining and railway hub and as the birthplace of novelist Wilbur Smith.
-
B.
Goma
Goma is a city in eastern Democratic Republic of the Congo on the northern shore of Lake Kivu, known as a gateway to Virunga National Park and for its proximity to the active Nyiragongo volcano.
-
C.
Malaba
Malaba is a key border town between Uganda and Kenya that serves as a major transit point for regional trade and transport.
-
D.
Kalulushi
Kalulushi is a town in Zambia known for its copper mining activities and location within the country's industrial Copperbelt region.
-
E.
Kabwe District
Kabwe District is an administrative region in Zambia’s Central Province that encompasses the city of Kabwe and its surrounding areas.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3f0694819097faa1c1447a9e97 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035600420819087c909a615d205a2 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.