Triple
T10044210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chimanimani National Park |
E205371
|
entity |
| Predicate | accessPoint |
P1985
|
FINISHED |
| Object | Chimanimani town |
E324745
|
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: Chimanimani town | Statement: [Chimanimani National Park, accessPoint, Chimanimani town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chimanimani town Context triple: [Chimanimani National Park, accessPoint, Chimanimani town]
-
A.
Chimanimani town
chosen
Chimanimani town is a small mountainous settlement in southeastern Zimbabwe known as a gateway to the scenic Chimanimani Mountains and surrounding national park.
-
B.
Chegutu
Chegutu is a town in central northern Zimbabwe known for its agricultural activities and gold mining.
-
C.
Marondera
Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
-
D.
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.
-
E.
Itezhi-Tezhi town
Itezhi-Tezhi town is a settlement in Zambia that developed near the Itezhi-Tezhi Dam and serves as a local center for services and access to the surrounding rural and wildlife 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf61b3e08190b69bcf67b6a95342 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a35fbc081908ec7d359ec3332f2 |
completed | April 5, 2026, 5:21 p.m. |
Created at: March 30, 2026, 8:55 p.m.