Triple
T15978212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beja language |
E387504
|
entity |
| Predicate | hasMajorDialect |
P1254
|
FINISHED |
| Object | Southern Beja dialect |
E387504
|
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: Southern Beja dialect | Statement: [Beja language, hasMajorDialect, Southern Beja dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southern Beja dialect Context triple: [Beja language, hasMajorDialect, Southern Beja dialect]
-
A.
Beja language
chosen
The Beja language is a Cushitic language spoken primarily by the Beja people across parts of Sudan, Egypt, and Eritrea.
-
B.
Ekhirit-Bulagat dialect
The Ekhirit-Bulagat dialect is a regional variety of the Buryat language traditionally spoken by the Ekhirit and Bulagat Buryat groups in Siberia.
-
C.
Ayt Ndhir dialect
The Ayt Ndhir dialect is a regional variety of Central Atlas Tamazight spoken by the Ayt Ndhir Amazigh community in Morocco.
-
D.
Zaian dialect
The Zaian dialect is a variety of Central Atlas Tamazight spoken primarily by the Zaian Berber people of central Morocco.
-
E.
Ayt Oumalou dialect
The Ayt Oumalou dialect is a regional variety of Central Atlas Tamazight spoken by the Ayt Oumalou Amazigh communities in Morocco.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157521f6c8190a54023b5ee6fc033 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c9567c8190af87c3fcf8a4af15 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.