Triple
T17703876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Interior of British Columbia |
E441378
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Kitwanga |
E1256394
|
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: Kitwanga | Statement: [Central Interior of British Columbia, hasTown, Kitwanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitwanga Context triple: [Central Interior of British Columbia, hasTown, Kitwanga]
-
A.
Kitwanga
chosen
Kitwanga is a small Gitxsan community in northwestern British Columbia, Canada, known for its rich Indigenous culture and historic totem poles.
-
B.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
C.
Karonga
Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
-
D.
Kitengela
Kitengela is a rapidly growing commuter town in Kenya known for its residential estates, industrial development, and proximity to Nairobi.
-
E.
Kalungu
Kalungu is a district in central Uganda that forms part of the traditional Buganda Kingdom region.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47296770c8190b6b172fb647da564 |
completed | April 19, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242ec0b708190add75f3bd08fc446 |
completed | May 11, 2026, 8:58 p.m. |
Created at: April 10, 2026, 10:05 a.m.