Triple
T14820596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Province |
E348439
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Mazabuka |
E266996
|
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: Mazabuka | Statement: [Southern Province, hasMajorTown, Mazabuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazabuka Context triple: [Southern Province, hasMajorTown, Mazabuka]
-
A.
Mazabuka
chosen
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
B.
Zonkwa
Zonkwa is a town in southern Kaduna State, Nigeria, serving as an important administrative and commercial center for the surrounding area.
-
C.
Mkushi
Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
-
D.
Mazvihwa
Mazvihwa is a rural area in central Zimbabwe known for its communal lands and traditional Shona communities.
-
E.
Mzembi
Mzembi is the surname of Walter Mzembi, a Zimbabwean politician who served as Minister of Tourism and Hospitality Industry.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe64328819083ce42704cf0602d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a6b4388190b83bdecb217b9b18 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:50 a.m.