Triple
T16033577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Omotic |
E388909
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Aari–Gayi |
E386661
|
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: Aari–Gayi | Statement: [South Omotic, hasSubgroup, Aari–Gayi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aari–Gayi Context triple: [South Omotic, hasSubgroup, Aari–Gayi]
-
A.
Aari
chosen
Aari is an Omotic language spoken primarily by the Aari people in southwestern Ethiopia.
-
B.
Aiani
Aiani is a town in northern Greece known for its archaeological significance and ancient Macedonian heritage.
-
C.
Aruimi
Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
-
D.
Aippasi
Aippasi is a month in the Tamil calendar, typically falling in October–November, observed for various Hindu religious festivals and rituals.
-
E.
Akaiami
Akaiami is a small, picturesque islet in the Aitutaki Lagoon of the Cook Islands, known for its white-sand beaches and clear turquoise waters.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833a5aa88190a5cc3f82d55f5b62 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf373f548190abfc93aa238b97fd |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.