Triple
T20765278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolamo |
E511078
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Welamo |
—
|
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: Welamo | Statement: [Wolamo, alsoKnownAs, Welamo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welamo Context triple: [Wolamo, alsoKnownAs, Welamo]
-
A.
Wolamo
chosen
Wolamo is an alternative name for the Wolaytta people, an ethnic group primarily living in southern Ethiopia with their own distinct language and culture.
-
B.
Ututo
Ututo is an Argentine GNU/Linux distribution notable for being one of the first fully free systems endorsed by the Free Software Foundation.
-
C.
Doiwala
Doiwala is a town and legislative assembly constituency in Uttarakhand, India, located near Dehradun and known as a gateway to the state's hilly regions.
-
D.
Ikalanga
Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
-
E.
Wapengo
Wapengo is a small coastal locality in New South Wales, Australia, known for its proximity to Wapengo Lake and its oyster farming industry.
- 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.