Triple
T22686514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasindi |
E560930
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Mpondwe |
—
|
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: Mpondwe | Statement: [Kasindi, nearbyTown, Mpondwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mpondwe Context triple: [Kasindi, nearbyTown, Mpondwe]
-
A.
Mpondwe
chosen
Mpondwe is a border town in western Uganda that serves as a major crossing and trade route between Uganda and the Democratic Republic of the Congo.
-
B.
Tsumkwe
Tsumkwe is a remote settlement in northeastern Namibia known as a center of San (Bushmen) communities and culture.
-
C.
Ilanga
Ilanga is a South African newspaper, historically significant as one of the country’s oldest isiZulu-language publications.
-
D.
Keabetswe
Keabetswe is the given first name of Mokgweetsi Masisi, the president of Botswana.
-
E.
Tembisa
Tembisa is a large township in Gauteng, South Africa, situated on the East Rand and known as a densely populated residential area within the City of Ekurhuleni.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178649aac8190a9d41f5d82895bdf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:12 p.m.