Triple
T7570337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mashonaland West Province |
E179222
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Chegutu
Chegutu is a town in central northern Zimbabwe known for its agricultural activities and gold mining.
|
E677633
|
NE FINISHED |
How this triple was built (4 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: Chegutu | Statement: [Mashonaland West Province, hasTown, Chegutu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chegutu Context triple: [Mashonaland West Province, hasTown, Chegutu]
-
A.
Marondera
Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
-
B.
Kapiri Mposhi
Kapiri Mposhi is a town in central Zambia that serves as a key rail and road junction linking the country to Tanzania and other regions.
-
C.
Chinhoyi
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
-
D.
Massinga
Massinga is a coastal town in southern Mozambique that serves as an important local center within Inhambane Province.
-
E.
Kasane
Kasane is a small town in northern Botswana that serves as a key gateway and service hub for visitors to Chobe National Park and the surrounding wildlife areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chegutu Triple: [Mashonaland West Province, hasTown, Chegutu]
Generated description
Chegutu is a town in central northern Zimbabwe known for its agricultural activities and gold mining.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chegutu Target entity description: Chegutu is a town in central northern Zimbabwe known for its agricultural activities and gold mining.
-
A.
Marondera
Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
-
B.
Kapiri Mposhi
Kapiri Mposhi is a town in central Zambia that serves as a key rail and road junction linking the country to Tanzania and other regions.
-
C.
Chinhoyi
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
-
D.
Massinga
Massinga is a coastal town in southern Mozambique that serves as an important local center within Inhambane Province.
-
E.
Kasane
Kasane is a small town in northern Botswana that serves as a key gateway and service hub for visitors to Chobe National Park and the surrounding wildlife areas.
- F. None of above. chosen
Provenance (5 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f920540c8190817712db5aa3eeff |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8707beee881909199518c8ceb3076 |
completed | March 29, 2026, 12:21 a.m. |
| NEDg | Description generation | batch_69c872bd335c8190af5d3bd6da60403c |
completed | March 29, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8734edaf081908b64f1abd95dd0c6 |
completed | March 29, 2026, 12:33 a.m. |
Created at: March 27, 2026, 3:51 p.m.