Triple
T57770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwe |
E1143
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Bulawayo
Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
|
E9766
|
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: Bulawayo | Statement: [Zimbabwe, containsCity, Bulawayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulawayo Context triple: [Zimbabwe, containsCity, Bulawayo]
-
A.
Harare
Harare is the largest city and main economic, political, and cultural center of Zimbabwe.
-
B.
Pretoria, South Africa
Pretoria, South Africa is one of the country’s three capital cities, serving as the administrative capital and a major center for government, education, and culture.
-
C.
Nairobi
Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
-
D.
Gauteng
Gauteng is South Africa’s smallest yet most populous and economically dominant province, encompassing major urban centers like Johannesburg and Pretoria.
-
E.
Zimbabwe
Zimbabwe is a landlocked country in southern Africa known for its dramatic landscapes, diverse wildlife, and historical sites such as Victoria Falls and 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: Bulawayo Triple: [Zimbabwe, containsCity, Bulawayo]
Generated description
Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bulawayo Target entity description: Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
-
A.
Harare
Harare is the largest city and main economic, political, and cultural center of Zimbabwe.
-
B.
Pretoria, South Africa
Pretoria, South Africa is one of the country’s three capital cities, serving as the administrative capital and a major center for government, education, and culture.
-
C.
Nairobi
Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
-
D.
Gauteng
Gauteng is South Africa’s smallest yet most populous and economically dominant province, encompassing major urban centers like Johannesburg and Pretoria.
-
E.
Zimbabwe
Zimbabwe is a landlocked country in southern Africa known for its dramatic landscapes, diverse wildlife, and historical sites such as Victoria Falls and 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b1bf2c081908f20e13939b713ff |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26c19b6088190af308ead33ae784e |
completed | Feb. 28, 2026, 4:16 a.m. |
| NEDg | Description generation | batch_69a26f0d3b088190a3b44743fefa35c1 |
completed | Feb. 28, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a26f7305148190895ffb57fb0ccfeb |
completed | Feb. 28, 2026, 4:30 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.