Triple
T21666922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayanic |
E534745
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Punan Aput 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: Punan Aput language | Statement: [Kayanic, hasMember, Punan Aput language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punan Aput language Context triple: [Kayanic, hasMember, Punan Aput language]
-
A.
Punan languages
chosen
Punan languages are a group of Austronesian languages spoken by various Punan (Penan) hunter-gatherer communities in Borneo, known for their close association with the island’s interior rainforest regions.
-
B.
Apalaí language
The Apalaí language is an indigenous Cariban language spoken by the Apalaí people of the Amazon region in northern Brazil.
-
C.
Apoi language
The Apoi language is a Niger-Congo language spoken by the Apoi subgroup of the Ijaw people in Nigeria’s Niger Delta region.
-
D.
Apatani language
The Apatani language is a Tani (Tibeto-Burman) language spoken by the Apatani people of Arunachal Pradesh in northeastern India.
-
E.
Apurinã language
The Apurinã language is an indigenous Arawakan language spoken by the Apurinã people of the Brazilian Amazon, known for its complex verbal morphology and endangered status.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0c236881909ffaefea8601b1c2 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:37 p.m.