Triple
T25793323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saafi-Saafi language |
E649606
|
entity |
| Predicate | linguisticGroupAssociated |
P3349
|
FINISHED |
| Object | Serer languages |
—
|
NE NERFINISHED |
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: Serer languages | Statement: [Saafi-Saafi language, linguisticGroupAssociated, Serer languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticGroupAssociated Context triple: [Saafi-Saafi language, linguisticGroupAssociated, Serer languages]
-
A.
arealLinguisticGroup
Indicates a relationship where languages are grouped together based on shared features arising from geographic proximity and contact, rather than common genetic origin.
-
B.
languageGroupAttribution
Indicates that an entity is associated with, classified under, or attributed to a particular language group.
-
C.
hasLanguageGroup
chosen
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
-
D.
languageFamilyAssociated
Indicates that there is an association or connection between a language and a particular language family.
-
E.
majorLanguageGroupOf
Indicates that one language group is the primary or dominant linguistic classification to which another language or set of languages belongs.
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ff0198688190a38eccee09742c7d |
completed | May 2, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 6:01 a.m.