Triple
T14010599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nupe Gbedegi dialect |
E337066
|
entity |
| Predicate | hasSuperordinateDialectCluster |
P1254
|
FINISHED |
| Object | Nupe dialect cluster |
—
|
LITERAL 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: Nupe dialect cluster | Statement: [Nupe Gbedegi dialect, hasSuperordinateDialectCluster, Nupe dialect cluster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuperordinateDialectCluster Context triple: [Nupe Gbedegi dialect, hasSuperordinateDialectCluster, Nupe dialect cluster]
-
A.
hasSuperordinateLanguage
Indicates that one language serves as a higher-level, overarching, or more general language in relation to another language.
-
B.
hasMajorDialectGroup
chosen
Indicates that an entity (typically a language) is associated with a primary or major dialect group to which it belongs.
-
C.
hasDialectContinuumWith
Indicates that two languages or dialects are part of a continuous chain of mutually intelligible varieties, without a clear boundary separating them.
-
D.
hasNumberOfDialects
Indicates the relationship between a language (or linguistic entity) and the count of distinct dialects it possesses.
-
E.
consideredDialectOf
Indicates that one language variety is regarded as a dialect of another language or linguistic standard.
- F. None of above.
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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.