Triple
T7627507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaita languages |
E172672
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Kwaira language |
E179008
|
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: Kwaira language | Statement: [Malaita languages, hasMember, Kwaira language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kwaira language Context triple: [Malaita languages, hasMember, Kwaira language]
-
A.
Qwara language
The Qwara language is a nearly extinct Afroasiatic language once spoken by the Beta Israel community in Ethiopia’s Gondar region.
-
B.
Kwaio language
chosen
The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
-
C.
Qewena language
The Qewena language is a Cushitic language of Ethiopia, closely related to Sidamo and spoken by the Qewena people.
-
D.
Kumbewaha language
The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
-
E.
Kwamera language
Kwamera language is an Austronesian language spoken by a small community on Tanna Island in 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa8150ac8190908aec411b0f4e50 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870aa0b048190afe78ce262834f22 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.