Triple
T10504856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chikomba District |
E247759
|
entity |
| Predicate | hasServiceCenter |
P38419
|
FINISHED |
| Object | Chivhu |
E867450
|
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: Chivhu | Statement: [Chikomba District, hasServiceCenter, Chivhu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chivhu Context triple: [Chikomba District, hasServiceCenter, Chivhu]
-
A.
Chivhu
chosen
Chivhu is a small town in central Zimbabwe known as an agricultural and commercial center along the main road between Harare and Masvingo.
-
B.
Chivi
Chivi is a rural district and settlement in southern Zimbabwe known for its communal farming communities and semi-arid landscape within Masvingo Province.
-
C.
Chingola
Chingola is a mining town in Zambia’s Copperbelt Province, known for its large copper mines and role in the country’s mining industry.
-
D.
Tshiguvhu
Tshiguvhu is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
-
E.
Chavuma
Chavuma is a small town in northwestern Zambia near the Angolan border, known for its proximity to the Zambezi River and scenic waterfalls.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099f4dec8190a9851739c8bc9a69 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99884c70481909fb45b7598f84c64 |
completed | April 11, 2026, 12:40 a.m. |
Created at: April 6, 2026, 12:26 p.m.