Triple
T1466418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malawi |
E27032
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Lilongwe
Lilongwe is the largest city and administrative and political center of Malawi, located in the country’s central region.
|
E166716
|
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: Lilongwe | Statement: [Malawi, capital, Lilongwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilongwe Context triple: [Malawi, capital, Lilongwe]
-
A.
Lusaka, Zambia
Lusaka, Zambia is the capital and largest city of Zambia, serving as the country’s political, economic, and cultural center.
-
B.
Matadi
Matadi is a major port city in western Democratic Republic of the Congo, serving as the country’s principal seaport and a key gateway for trade between the Atlantic Ocean and the interior via the Congo River.
-
C.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
-
D.
Bulawayo
Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
-
E.
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.
- 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: Lilongwe Triple: [Malawi, capital, Lilongwe]
Generated description
Lilongwe is the largest city and administrative and political center of Malawi, located in the country’s central region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lilongwe Target entity description: Lilongwe is the largest city and administrative and political center of Malawi, located in the country’s central region.
-
A.
Lusaka, Zambia
Lusaka, Zambia is the capital and largest city of Zambia, serving as the country’s political, economic, and cultural center.
-
B.
Matadi
Matadi is a major port city in western Democratic Republic of the Congo, serving as the country’s principal seaport and a key gateway for trade between the Atlantic Ocean and the interior via the Congo River.
-
C.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
-
D.
Bulawayo
Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
-
E.
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.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5bb4e288190997c7e8985e9a2bd |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e7e7f848190a8abcb73e89e8e34 |
completed | March 8, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69ad0f0b145c8190b08af9a6a3325c23 |
completed | March 8, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0f9380648190b4db1b9c92f37831 |
completed | March 8, 2026, 5:56 a.m. |
Created at: March 1, 2026, 8:01 p.m.