Triple
T2353863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mashonaland |
E47508
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Marondera
Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
|
E260242
|
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: Marondera | Statement: [Mashonaland, hasMajorCity, Marondera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marondera Context triple: [Mashonaland, hasMajorCity, Marondera]
-
A.
Chinhoyi
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
-
B.
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.
-
C.
Mbabane
Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
-
D.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
-
E.
Mutare
Mutare is a major city in eastern Zimbabwe, serving as the capital of Manicaland Province and an important commercial and transport hub near the border with Mozambique.
- 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: Marondera Triple: [Mashonaland, hasMajorCity, Marondera]
Generated description
Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marondera Target entity description: Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
-
A.
Chinhoyi
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
-
B.
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.
-
C.
Mbabane
Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
-
D.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
-
E.
Mutare
Mutare is a major city in eastern Zimbabwe, serving as the capital of Manicaland Province and an important commercial and transport hub near the border with Mozambique.
- 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_69aea888b5a881909b1f91562957388d |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aea9e4fd748190870fca46e6d2ea78 |
completed | March 9, 2026, 11:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeaa3f5afc8190af11862c52f35074 |
completed | March 9, 2026, 11:08 a.m. |
Created at: March 4, 2026, 7:54 p.m.