Triple
T15234336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witsuwitʼen language |
E364084
|
entity |
| Predicate | isPartOfContinuumWith |
P5198
|
FINISHED |
| Object | Babine language |
E353076
|
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: Babine language | Statement: [Witsuwitʼen language, isPartOfContinuumWith, Babine language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babine language Context triple: [Witsuwitʼen language, isPartOfContinuumWith, Babine language]
-
A.
Babine language
chosen
The Babine language is an Indigenous Athabaskan language spoken by the Babine (Nadot'en) people of British Columbia, Canada.
-
B.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
C.
Buyi language
The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
-
D.
Bura-Pabir language
The Bura-Pabir language is a Chadic language spoken primarily in northeastern Nigeria by the Bura and Pabir ethnic groups.
-
E.
Baniwa language
Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3dd5a081909a1a7fceda648c29 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:12 a.m.