Triple
T12576154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongxiang language |
E300210
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Bonan language |
E300211
|
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: Bonan language | Statement: [Dongxiang language, closelyRelatedTo, Bonan language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonan language Context triple: [Dongxiang language, closelyRelatedTo, Bonan language]
-
A.
Bonan language
chosen
The Bonan language is an endangered Mongolic language spoken primarily by the Bonan ethnic group in Gansu and Qinghai provinces of China.
-
B.
Bunak language
The Bunak language is a Papuan language spoken primarily in the central region of Timor, straddling the border between Indonesia and Timor-Leste.
-
C.
Baatonum language
The Baatonum language is a Gur language spoken primarily by the Bariba people of Benin and neighboring areas of West Africa.
-
D.
Kacipo-Bale language
The Kacipo-Bale language is a Surmic language spoken by the Kacipo and Bale peoples of southwestern Ethiopia and neighboring regions of South Sudan.
-
E.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a629fc8190a1c3b6777aad4527 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65597dc70819089ddc1794e9bd1b7 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 9, 2026, 4:47 p.m.