Triple
T13593336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chipinge |
E324746
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Chipinga
Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique border.
|
E1052803
|
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: Chipinga | Statement: [Chipinge, historicalName, Chipinga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chipinga Context triple: [Chipinge, historicalName, Chipinga]
-
A.
Chimane
Chimane are an Indigenous people of the Bolivian Amazon known for their traditional subsistence lifestyle and significance in anthropological and health research.
-
B.
Sinazongwe
Sinazongwe is a lakeside town in southern Zambia situated on the shores of Lake Kariba, known primarily for fishing and agriculture.
-
C.
Mberengwa
Mberengwa is a rural district and growth point in Zimbabwe known for its mining activities and location in the southern part of the Midlands Province.
-
D.
Chindau
Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
-
E.
Thabazimbi
Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National 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: Chipinga Triple: [Chipinge, historicalName, Chipinga]
Generated description
Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chipinga Target entity description: Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique border.
-
A.
Chimane
Chimane are an Indigenous people of the Bolivian Amazon known for their traditional subsistence lifestyle and significance in anthropological and health research.
-
B.
Sinazongwe
Sinazongwe is a lakeside town in southern Zambia situated on the shores of Lake Kariba, known primarily for fishing and agriculture.
-
C.
Mberengwa
Mberengwa is a rural district and growth point in Zimbabwe known for its mining activities and location in the southern part of the Midlands Province.
-
D.
Chindau
Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
-
E.
Thabazimbi
Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae1d1b08190ad07b159ac3eba4b |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78c0030e481909c20f21ddaa480dc |
completed | May 3, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d6d74bc8190ad5476a06e8fd8ad |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:49 p.m.