Triple
T15944932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawro |
E386659
|
entity |
| Predicate | isRelatedTo |
P37
|
FINISHED |
| Object | Wolaytta |
E119153
|
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: Wolaytta | Statement: [Dawro, isRelatedTo, Wolaytta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolaytta Context triple: [Dawro, isRelatedTo, Wolaytta]
-
A.
Wolaytta
chosen
Wolaytta is a Cushitic-influenced Omotic language spoken primarily by the Wolaytta people in southern Ethiopia.
-
B.
Tigré
Tigré is a Semitic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
-
C.
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
D.
Wolaita Sodo
Wolaita Sodo is a major town in south-central Ethiopia that serves as an important administrative, commercial, and transport hub for the surrounding Wolaita area.
-
E.
Mahlet
Mahlet is a traditional poetic and musical form used in the Eritrean Orthodox Church’s liturgy, characterized by its chant-like, devotional style.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d0d55c8190af59ff169e8add78 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbc5034c8190afcaa7d35c957396 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:53 a.m.