Triple
T21665086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Malawi |
E534692
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Zomba |
—
|
NE NERFINISHED |
How this triple was built (2 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: Zomba | Statement: [Southern Malawi, hasMajorCity, Zomba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zomba Context triple: [Southern Malawi, hasMajorCity, Zomba]
-
A.
Zomba
chosen
Zomba is a historic city in southern Malawi that served as the country’s former capital and remains an important administrative and educational center.
-
B.
Chilomoni
Chilomoni is a residential suburb of Blantyre in southern Malawi, known for its dense population and local markets.
-
C.
Mbulu
Mbulu is a local name for the Congo peafowl, a rare and elusive forest-dwelling bird species native to the Congo Basin in Central Africa.
-
D.
Mbulu
Mbulu is an ethnic group in northern Tanzania, more commonly known as the Iraqw people, noted for their Cushitic language and intensive agriculture.
-
E.
Kagulu
Kagulu is a Bantu language of central Tanzania spoken by the Kagulu people and classified within the Ruvu subgroup of Bantu languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0b26c8819092c13e59dcc3c25c |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.