Triple
T12653750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vai language |
E302228
|
entity |
| Predicate | hasAutonym |
P1435
|
FINISHED |
| Object | Vai |
E302228
|
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: Vai | Statement: [Vai language, hasAutonym, Vai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vai Context triple: [Vai language, hasAutonym, Vai]
-
A.
Vai
chosen
Vai is a Mande language of West Africa, notable for its indigenous syllabic writing system created by the Vai people of Liberia and Sierra Leone.
-
B.
You River
The You River is a tributary waterway in southern China that feeds into the larger Yuan River system.
-
C.
River Naver
River Naver is a remote river in Sutherland in the far north of Scotland, known for flowing through the sparsely populated Strathnaver valley to the north coast and for its salmon fishing.
-
D.
Vis River
The Vis River is a scenic watercourse in southern France known for its clear waters, gorges, and karst landscapes in the Cévennes region.
-
E.
Donga River
The Donga River is a significant river in West Africa that flows through Nigeria and Cameroon before joining the Benue River.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:18 p.m.