Triple
T20765102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omotic |
E511073
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Ometo |
—
|
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: Ometo | Statement: [Omotic, hasSubgroup, Ometo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ometo Context triple: [Omotic, hasSubgroup, Ometo]
-
A.
Ometo
Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
-
B.
Ometo
chosen
Ometo is a branch of the Omotic language family spoken in southwestern Ethiopia, encompassing several closely related languages and dialects.
-
C.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
-
D.
Murias
Murias are an indigenous tribal community of the Bastar region in central India, known for their distinct cultural traditions, social organization, and art forms.
-
E.
Soatá
Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24bde0c8190b46986b89bf2e037 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:36 p.m.