Triple
T21053810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kami language |
E518655
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object | Kwere language |
E1464743
|
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: Kwere language | Statement: [Kami language, neighboringLanguage, Kwere language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kwere language Context triple: [Kami language, neighboringLanguage, Kwere language]
-
A.
Kwere language
chosen
The Kwere language is a Bantu language spoken primarily by the Kwere people of eastern Tanzania.
-
B.
Kwegu language
The Kwegu language is a Surmic language spoken by the small Kwegu ethnic group living along the Omo River in southwestern Ethiopia.
-
C.
Ikwerre language
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
-
D.
Kerewe language
The Kerewe language is a Bantu language spoken primarily by the Kerewe people on Ukerewe Island in Lake Victoria, Tanzania.
-
E.
Kwasio language
The Kwasio language is a Bantu language spoken primarily by the Kwasio people of southern Cameroon and neighboring areas, closely related to other coastal Bantu languages of the 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7e087c81908712ddc63e8b1e6c |
completed | April 21, 2026, 4:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a4bf5048190867f67140395a045 |
completed | May 17, 2026, 6:03 a.m. |
Created at: April 16, 2026, 2:36 p.m.