Triple
T22031363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bru-Van Kieu |
E544095
|
entity |
| Predicate | speaks |
P741
|
FINISHED |
| Object | Bru language |
—
|
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: Bru language | Statement: [Bru-Van Kieu, speaks, Bru language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bru language Context triple: [Bru-Van Kieu, speaks, Bru language]
-
A.
Bru language
chosen
Bru language is a Mon–Khmer language spoken by the Bru people across parts of Laos, Vietnam, and Thailand.
-
B.
Bo language
Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
-
C.
Berom language
The Berom language is a Plateau language spoken primarily by the Berom people in Nigeria’s Middle Belt region, especially around Jos in Plateau State.
-
D.
Bel languages
Bel languages are a small group of closely related Austronesian languages spoken primarily along the north coast of Papua New Guinea.
-
E.
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.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127edd5b48190a9aeb2840105c181 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.