Triple
T14558487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuru dialect |
E341604
|
entity |
| Predicate | subclassOf |
P1244
|
FINISHED |
| Object | Berom language variety |
E68361
|
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: Berom language variety | Statement: [Kuru dialect, subclassOf, Berom language variety]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berom language variety Context triple: [Kuru dialect, subclassOf, Berom language variety]
-
A.
Berom language
chosen
The Berom language is a Plateau language spoken primarily by the Berom people in Nigeria’s Middle Belt region, especially around Jos in Plateau State.
-
B.
Warji language
Warji language is a West Chadic language spoken primarily in Bauchi State, northern Nigeria, by the Warji people.
-
C.
Rumbur dialect
The Rumbur dialect is a regional variety of the Kalasha language spoken in the Rumbur Valley of northern Pakistan.
-
D.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
E.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16830c0819090a97b073c8e642d |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:23 a.m.