Triple
T7978272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mpanda District |
E185500
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mpanda town |
E179086
|
NE FINISHED |
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: Mpanda town | Statement: [Mpanda District, contains, Mpanda town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mpanda town Context triple: [Mpanda District, contains, Mpanda town]
-
A.
Mpanda
chosen
Mpanda is a town in western Tanzania that serves as an important administrative and commercial hub for the surrounding region.
-
B.
Chimanimani town
Chimanimani town is a small mountainous settlement in southeastern Zimbabwe known as a gateway to the scenic Chimanimani Mountains and surrounding national park.
-
C.
Itezhi-Tezhi town
Itezhi-Tezhi town is a settlement in Zambia that developed near the Itezhi-Tezhi Dam and serves as a local center for services and access to the surrounding rural and wildlife areas.
-
D.
Mpanda District
Mpanda District is an administrative district in western Tanzania known for its proximity to Katavi National Park and its largely rural, sparsely populated landscape.
-
E.
Nsanje
Nsanje is a town in southern Malawi near the border with Mozambique, known as a key transport and trading center in the Lower Shire Valley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf84b1081908e60a556d984aad6 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe086fc08190b41a2eb2193f6675 |
completed | April 1, 2026, 6:41 a.m. |
Created at: March 30, 2026, 5:14 p.m.