Triple
T21429302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidayuh language |
E528641
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Bidayuh |
—
|
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: Bidayuh | Statement: [Bidayuh language, ethnicGroup, Bidayuh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bidayuh Context triple: [Bidayuh language, ethnicGroup, Bidayuh]
-
A.
Bidayuh
chosen
Bidayuh is an indigenous ethnic group of Borneo, primarily in Sarawak, Malaysia, known for its distinct languages, traditional longhouse culture, and rich agricultural and ritual practices.
-
B.
Gadong
Gadong is a major commercial and entertainment hub in Brunei, known for its shopping centers, markets, and vibrant urban activity.
-
C.
Kempas
Kempas is a suburban area and residential township located within the Johor Bahru region of Johor, Malaysia.
-
D.
Gadjang
Gadjang is an Aboriginal Australian language variety associated with the Worimi people of New South Wales.
-
E.
Betawi
Betawi is an Austronesian language spoken primarily by the Betawi people in and around Jakarta, Indonesia, and is closely associated with the city's urban culture and history.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813ef6a8819089511b8f608c9491 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:49 p.m.