Triple
T18383400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazowe River |
E446513
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Mazowe town
Mazowe town is a settlement in northern Zimbabwe known for its agricultural activities and proximity to the Mazowe River and surrounding farming estates.
|
E1321647
|
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: Mazowe town | Statement: [Mazowe River, locatedNear, Mazowe town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazowe town Context triple: [Mazowe River, locatedNear, Mazowe town]
-
A.
Chimanimani town
Chimanimani town is a small mountainous settlement in southeastern Zimbabwe known as a gateway to the scenic Chimanimani Mountains and surrounding national park.
-
B.
Marondera
Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
-
C.
Hwange town
Hwange town is a settlement in western Zimbabwe best known as a gateway to the nearby Hwange National Park and its wildlife tourism.
-
D.
Chinhoyi
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
-
E.
Chegutu
Chegutu is a town in central northern Zimbabwe known for its agricultural activities and gold mining.
- 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: Mazowe town Triple: [Mazowe River, locatedNear, Mazowe town]
Generated description
Mazowe town is a settlement in northern Zimbabwe known for its agricultural activities and proximity to the Mazowe River and surrounding farming estates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazowe town Target entity description: Mazowe town is a settlement in northern Zimbabwe known for its agricultural activities and proximity to the Mazowe River and surrounding farming estates.
-
A.
Chimanimani town
Chimanimani town is a small mountainous settlement in southeastern Zimbabwe known as a gateway to the scenic Chimanimani Mountains and surrounding national park.
-
B.
Marondera
Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
-
C.
Hwange town
Hwange town is a settlement in western Zimbabwe best known as a gateway to the nearby Hwange National Park and its wildlife tourism.
-
D.
Chinhoyi
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
-
E.
Chegutu
Chegutu is a town in central northern Zimbabwe known for its agricultural activities and gold mining.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179c931c8190b1c7c8284f42f7b7 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d782cb54819091b847cdeb98ed5c |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d8adc00c81908ca0a4825a2bcea1 |
completed | May 13, 2026, 1:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03da59c1b081908d9488233c611586 |
completed | May 13, 2026, 1:56 a.m. |
Created at: April 10, 2026, 10:45 a.m.