Triple
T38050033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senufo cultural region |
E949728
|
entity |
| Predicate | dominantLanguageBranch |
P1967
|
FINISHED |
| Object | Gur-related Senufo branch |
—
|
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: Gur-related Senufo branch | Statement: [Senufo cultural region, dominantLanguageBranch, Gur-related Senufo branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantLanguageBranch Context triple: [Senufo cultural region, dominantLanguageBranch, Gur-related Senufo branch]
-
A.
dominantTraditionalLanguage
Indicates that one language is the primary or most widely used traditional language within a given context or community.
-
B.
dominantLocalLanguage
Indicates that one language is the primary or most widely used language within a specific local area or community.
-
C.
languageBranch
chosen
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
-
D.
dominantDialect
Indicates that one dialect is the primary or most influential form of a language within a particular context or region.
-
E.
dominantMediaLanguage
Indicates that one language is the primary or most prevalent medium of communication used in a given media context or outlet.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 3, 2026, 4:20 p.m.