Triple
T11924864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nambya |
E283752
|
entity |
| Predicate | associatedTown |
P847
|
FINISHED |
| Object | Hwange |
E610134
|
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: Hwange | Statement: [Nambya, associatedTown, Hwange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hwange Context triple: [Nambya, associatedTown, Hwange]
-
A.
Hwange
chosen
Hwange is a town in western Zimbabwe best known for its large coal mining industry and its proximity to Hwange National Park, the country’s largest game reserve.
-
B.
Hwange National Park
Hwange National Park is Zimbabwe’s largest and oldest national park, renowned for its vast elephant populations and diverse wildlife-rich savanna landscapes.
-
C.
Kafue National Park
Kafue National Park is one of Africa’s largest and oldest national parks, renowned for its diverse wildlife, expansive wetlands, and relatively untouched wilderness.
-
D.
Sioma, Zambia
Sioma is a rural town in western Zambia known as a gateway to the scenic Ngonye Falls on the Zambezi River.
-
E.
Zambezi Valley
The Zambezi Valley is a vast, wildlife-rich river valley in southern Africa, known for its dramatic landscapes along the Zambezi River and protected areas such as Mana Pools.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e2fc648190a446c1917db1c7d9 |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f45891f9c081909250a0aa0f7448d2 |
completed | May 1, 2026, 7:38 a.m. |
Created at: April 8, 2026, 9:45 p.m.