Triple
T11228925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chenjerai Hove |
E265768
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Mazvihwa
Mazvihwa is a rural area in central Zimbabwe known for its communal lands and traditional Shona communities.
|
E916744
|
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: Mazvihwa | Statement: [Chenjerai Hove, placeOfBirth, Mazvihwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazvihwa Context triple: [Chenjerai Hove, placeOfBirth, Mazvihwa]
-
A.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
B.
Makaziwe
Makaziwe is a South African academic and businesswoman best known as the daughter of Nelson Mandela.
-
C.
Soshangane
Soshangane was a 19th-century Nguni military leader who founded the Gaza Empire in southeastern Africa during the upheavals of the Mfecane.
-
D.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
E.
Bamangwato
Bamangwato are a major Tswana-speaking chieftaincy and ethnic subgroup in Botswana historically centered around Serowe and known for their influential role in the country’s political development.
- 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: Mazvihwa Triple: [Chenjerai Hove, placeOfBirth, Mazvihwa]
Generated description
Mazvihwa is a rural area in central Zimbabwe known for its communal lands and traditional Shona communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazvihwa Target entity description: Mazvihwa is a rural area in central Zimbabwe known for its communal lands and traditional Shona communities.
-
A.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
B.
Makaziwe
Makaziwe is a South African academic and businesswoman best known as the daughter of Nelson Mandela.
-
C.
Soshangane
Soshangane was a 19th-century Nguni military leader who founded the Gaza Empire in southeastern Africa during the upheavals of the Mfecane.
-
D.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
E.
Bamangwato
Bamangwato are a major Tswana-speaking chieftaincy and ethnic subgroup in Botswana historically centered around Serowe and known for their influential role in the country’s political development.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e900fbcc8190a3177f8a73564433 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509ea915481909c41a4a89ae6ee80 |
completed | April 19, 2026, 4:59 p.m. |
| NEDg | Description generation | batch_69e50ec6ad388190b2518692d30c371c |
completed | April 19, 2026, 5:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5168c8da0819093bf61d8ea5f9e35 |
completed | April 19, 2026, 5:53 p.m. |
Created at: April 8, 2026, 9:30 p.m.