Triple
T20765429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawro language |
E511082
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Dawuro |
—
|
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: Dawuro | Statement: [Dawro language, alsoKnownAs, Dawuro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawuro Context triple: [Dawro language, alsoKnownAs, Dawuro]
-
A.
Dawuro
chosen
Dawuro is an administrative zone in the South West Region of Ethiopia, inhabited primarily by the Dawuro people and known for its distinct language and culture.
-
B.
Warkaa
Warkaa is a town located within Iraq’s Muthanna Governorate in the southern part of the country.
-
C.
Takelsa
Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
-
D.
Wukro
Wukro is a town in northern Ethiopia known for its historic rock-hewn churches and its location along the main road in the Tigray Region.
-
E.
Kerebe
Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
- 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.