Triple
T5614574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lomwe |
E147444
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Malawi Lomwe |
E147444
|
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: Malawi Lomwe | Statement: [Lomwe, hasDialect, Malawi Lomwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malawi Lomwe Context triple: [Lomwe, hasDialect, Malawi Lomwe]
-
A.
Lomwe
chosen
Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
-
B.
Malaweg
Malaweg is a Philippine language of northern Luzon, considered a variety or closely related member of the Ibanag language group.
-
C.
Malawi
Malawi is a landlocked country in southeastern Africa known for Lake Malawi, its predominantly agricultural economy, and membership in regional and international organizations including the Commonwealth.
-
D.
Mzuzu
Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
-
E.
Sioma, Zambia
Sioma is a rural town in western Zambia known as a gateway to the scenic Ngonye Falls on the Zambezi River.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02123fa9081909086c9cce3f3e907 |
completed | March 22, 2026, 5:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a0ab9cc8190a01c5309e6cfc598 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:39 p.m.