Triple
T1302580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matabeleland North |
E27799
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tsholotsho
Tsholotsho is a rural district and township in western Zimbabwe known for its proximity to Hwange National Park and its predominantly Ndebele-speaking communities.
|
E155419
|
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: Tsholotsho | Statement: [Matabeleland North, contains, Tsholotsho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsholotsho Context triple: [Matabeleland North, contains, Tsholotsho]
-
A.
Lomwe
Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
-
B.
Makhuwa
Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
-
C.
Lilangeni
The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
-
D.
Bongi
Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
-
E.
Maphelane
Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
- 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: Tsholotsho Triple: [Matabeleland North, contains, Tsholotsho]
Generated description
Tsholotsho is a rural district and township in western Zimbabwe known for its proximity to Hwange National Park and its predominantly Ndebele-speaking communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsholotsho Target entity description: Tsholotsho is a rural district and township in western Zimbabwe known for its proximity to Hwange National Park and its predominantly Ndebele-speaking communities.
-
A.
Lomwe
Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
-
B.
Makhuwa
Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
-
C.
Lilangeni
The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
-
D.
Bongi
Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
-
E.
Maphelane
Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c115ba64819081c55fa6807e19ef |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce5fa07c8190a410461d51ef1f3a |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf21a79c819086219d2927c61349 |
completed | March 8, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accf84fbb88190a1b7a7546f485e61 |
completed | March 8, 2026, 1:23 a.m. |
Created at: March 1, 2026, 7:51 p.m.