Triple
T21350865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buggala Island |
E526472
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Kalangala town |
—
|
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: Kalangala town | Statement: [Buggala Island, hasSettlement, Kalangala town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalangala town Context triple: [Buggala Island, hasSettlement, Kalangala town]
-
A.
Kalangala
chosen
Kalangala is a town on Uganda’s Ssese Islands in Lake Victoria, serving as the administrative and commercial center of Kalangala District.
-
B.
Kalangoya
Kalangoya is an alternative name for the Kalanguya language, an Austronesian language spoken by indigenous communities in the northern Philippines.
-
C.
Lyantonde
Lyantonde is a town and district in central Uganda, situated within the traditional kingdom region of Buganda.
-
D.
Kalangala District
Kalangala District is a Ugandan district composed mainly of the Ssese Islands in Lake Victoria, known for its fishing, tourism, and island-based communities.
-
E.
Masaka
Masaka is a town located within the Karu Local Government Area in central Nigeria.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad31087481909d41e9d28286f04d |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5:04 p.m.