Triple
T7056174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maipurean languages |
E164095
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Wapishana language |
E155583
|
NE FINISHED |
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: Wapishana language | Statement: [Maipurean languages, member, Wapishana language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wapishana language Context triple: [Maipurean languages, member, Wapishana language]
-
A.
Wapishana language
chosen
The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
-
B.
Kumbewaha language
The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
-
C.
Kwaio language
The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
-
D.
Waja language
The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
-
E.
Mwerlap language
Mwerlap language is an Oceanic language spoken by a small community in the Banks Islands of northern Vanuatu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e269050c81908c186609a8a7bcf9 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788a303148190869be2a455d28791 |
completed | March 28, 2026, 7:52 a.m. |
Created at: March 27, 2026, 2:38 p.m.