Triple
T2353862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mashonaland |
E47508
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Chinhoyi
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
|
E257663
|
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: Chinhoyi | Statement: [Mashonaland, hasMajorCity, Chinhoyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinhoyi Context triple: [Mashonaland, hasMajorCity, Chinhoyi]
-
A.
Chivhu, Zimbabwe
Chivhu, Zimbabwe is a small town in central Zimbabwe known as an agricultural center and one of the country’s oldest European-settled communities.
-
B.
Harare Province
Harare Province is the metropolitan province in Zimbabwe that encompasses the capital city, Harare, and its surrounding urban areas.
-
C.
Gwanda
Gwanda is a small Zimbabwean town that serves as an administrative and commercial hub in the country’s arid south, known historically for cattle ranching and gold mining.
-
D.
Masvingo Province
Masvingo Province is a region in southeastern Zimbabwe known for encompassing the historic Great Zimbabwe ruins and the city of Masvingo.
-
E.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
- 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: Chinhoyi Triple: [Mashonaland, hasMajorCity, Chinhoyi]
Generated description
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chinhoyi Target entity description: Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
-
A.
Chivhu, Zimbabwe
Chivhu, Zimbabwe is a small town in central Zimbabwe known as an agricultural center and one of the country’s oldest European-settled communities.
-
B.
Harare Province
Harare Province is the metropolitan province in Zimbabwe that encompasses the capital city, Harare, and its surrounding urban areas.
-
C.
Gwanda
Gwanda is a small Zimbabwean town that serves as an administrative and commercial hub in the country’s arid south, known historically for cattle ranching and gold mining.
-
D.
Masvingo Province
Masvingo Province is a region in southeastern Zimbabwe known for encompassing the historic Great Zimbabwe ruins and the city of Masvingo.
-
E.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6fa6ecc8190821c9d5db341cf19 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9633ce3c81908581e7e0f8211ac1 |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae971aa3bc8190b0b8b216106dca90 |
completed | March 9, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae9795cf048190bc7a01ef86c12138 |
completed | March 9, 2026, 9:49 a.m. |
Created at: March 4, 2026, 7:54 p.m.