Triple
T247963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Union |
E5080
|
entity |
| Predicate | foundedAt |
P4025
|
FINISHED |
| Object |
Lusaka, Zambia
Lusaka, Zambia is the capital and largest city of Zambia, serving as the country’s political, economic, and cultural center.
|
E31817
|
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: Lusaka, Zambia | Statement: [African Union, foundedAt, Lusaka, Zambia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lusaka, Zambia Context triple: [African Union, foundedAt, Lusaka, Zambia]
-
A.
Bulawayo
Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
-
B.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
-
C.
Harare
Harare is the largest city and main economic, political, and cultural center of Zimbabwe.
-
D.
Luanda
Luanda is the capital and largest city of Angola, a major Atlantic port and economic hub with a history shaped by Portuguese colonial rule and the transatlantic slave trade.
-
E.
Nairobi
Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
- 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: Lusaka, Zambia Triple: [African Union, foundedAt, Lusaka, Zambia]
Generated description
Lusaka, Zambia is the capital and largest city of Zambia, serving as the country’s political, economic, and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lusaka, Zambia Target entity description: Lusaka, Zambia is the capital and largest city of Zambia, serving as the country’s political, economic, and cultural center.
-
A.
Bulawayo
Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
-
B.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
-
C.
Harare
Harare is the largest city and main economic, political, and cultural center of Zimbabwe.
-
D.
Luanda
Luanda is the capital and largest city of Angola, a major Atlantic port and economic hub with a history shaped by Portuguese colonial rule and the transatlantic slave trade.
-
E.
Nairobi
Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d154ebc819087a5c9dc4f62ff44 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36cf64798819096218d320b00a3a9 |
completed | Feb. 28, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69a36d713d548190afadbc7ec7509d98 |
completed | Feb. 28, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a36e072f188190a0961926536659c1 |
completed | Feb. 28, 2026, 10:36 p.m. |
Created at: Feb. 28, 2026, 2:54 a.m.