Triple
T21175431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwale County |
E521798
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Ukunda |
—
|
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: Ukunda | Statement: [Kwale County, hasMajorTown, Ukunda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ukunda Context triple: [Kwale County, hasMajorTown, Ukunda]
-
A.
Ukunda
chosen
Ukunda is a coastal town in Kenya near Diani Beach, known as a popular tourist destination with a small airstrip serving regional flights.
-
B.
Ukuwela
Ukuwela is a town in Sri Lanka’s Central Province, known as a local hub within the Matale District.
-
C.
Ngundu
Ngundu is a small settlement in southern Zimbabwe that serves as a roadside stop and trading center along major routes between Harare and Beitbridge.
-
D.
Umbakumba
Umbakumba is a small Indigenous community and settlement located on Groote Eylandt in the Gulf of Carpentaria, Northern Territory, Australia.
-
E.
Tunduma
Tunduma is a border town in southern Tanzania that serves as a major road and rail gateway for trade and travel between Tanzania and Zambia.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7271597288190b04baff9ca8d866c |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.