Triple
T15944854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamo |
E386657
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Dawro |
E386659
|
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: Dawro | Statement: [Gamo, neighboringLanguages, Dawro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawro Context triple: [Gamo, neighboringLanguages, Dawro]
-
A.
Dawro
chosen
Dawro is an Omotic language spoken primarily by the Dawro people in southwestern Ethiopia.
-
B.
Dunira
Dunira is a historic Scottish country estate notable for its 19th-century architecture and landscaped grounds.
-
C.
Dava
Dava is a feminine given name most notably borne by American science writer Dava Sobel.
-
D.
Dargwa
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
E.
Godwari
Godwari is a regional Indo-Aryan dialect spoken in parts of Rajasthan, India, known for its close affinity to other Marwari-related speech varieties.
- 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_69ffb5beabbc8190977f14c1b3ccdf29 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.