Triple
T3258819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berom language |
E68361
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Kuru Jenta dialect |
E341604
|
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: Kuru Jenta dialect | Statement: [Berom language, hasDialect, Kuru Jenta dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuru Jenta dialect Context triple: [Berom language, hasDialect, Kuru Jenta dialect]
-
A.
Kuru dialect
chosen
Kuru dialect is a regional variety of the Berom language spoken by the Berom people in parts of Plateau State, Nigeria.
-
B.
Gaika dialect
The Gaika dialect is a regional variety of the Xhosa language traditionally associated with the amaGqika subgroup in South Africa.
-
C.
Nohurli dialect
The Nohurli dialect is a regional variety of Turkmen spoken by the Nohur people in parts of Turkmenistan, distinguished by its unique phonetic and lexical features.
-
D.
Nochiya dialect
The Nochiya dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Nochiya area in southeastern Turkey.
-
E.
Kuto-Kute dialect
The Kuto-Kute dialect is a regional variety of the Sasak language spoken on the island of Lombok in Indonesia.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adafa4f40c81909adfd0f7f568e3ce |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e8369b708190aeddf21dd9440d6a |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:09 p.m.