Triple
T21429254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dusunic languages |
E528640
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Sugut Dusun 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: Sugut Dusun language | Statement: [Dusunic languages, hasMember, Sugut Dusun language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugut Dusun language Context triple: [Dusunic languages, hasMember, Sugut Dusun language]
-
A.
Dusun language
chosen
The Dusun language is an Austronesian language spoken primarily by the Dusun people of Sabah in Malaysian Borneo.
-
B.
Dusun Witu language
Dusun Witu is an Austronesian language of the Barito group spoken by the Dusun Witu people in Kalimantan, Indonesia.
-
C.
Dusner language
The Dusner language is a highly endangered Papuan language spoken by a small community in the West Papua region of Indonesia.
-
D.
Susu language
Susu language is a Mande language of West Africa, primarily spoken by the Susu people in Guinea and neighboring countries.
-
E.
Uduk language
The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
- 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_69ee813db52c8190ac933bc6ec4dbf77 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:49 p.m.