Triple
T22933496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butonese Wolio |
E569509
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Wolio |
—
|
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: Wolio | Statement: [Butonese Wolio, alternativeName, Wolio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolio Context triple: [Butonese Wolio, alternativeName, Wolio]
-
A.
Wolio
chosen
Wolio is an Austronesian language spoken primarily by the Wolio people on Buton Island in Southeast Sulawesi, Indonesia.
-
B.
Driva
Driva is a river in Norway’s Møre og Romsdal county, known for flowing through the Sunndal valley and past the village of Sunndalsøra.
-
C.
Wolfit
Wolfit is the surname of Donald Wolfit, a renowned English actor and theatre manager noted for his powerful Shakespearean performances.
-
D.
Vroomster
The Vroomster is the primary high-tech flying vehicle used by the Go Jetters in the children's animated TV series.
-
E.
Movia
Movia is a Danish public transport authority responsible for planning and managing bus services in the Greater Copenhagen area and parts of Zealand.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181337ff881909d90cf3f5bae7516 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.