Triple
T31768148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samia |
E810863
|
entity |
| Predicate | isPartOfDialectCluster |
P197362
|
FINISHED |
| Object | Luhya 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: Luhya languages | Statement: [Samia, isPartOfDialectCluster, Luhya languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfDialectCluster Context triple: [Samia, isPartOfDialectCluster, Luhya languages]
-
A.
hasDialectCluster
Indicates that one language or linguistic variety is associated with a particular group or cluster of related dialects.
-
B.
isDialectalBaseOf
Indicates that one language variety serves as the primary dialectal source or foundation from which another dialect develops or is derived.
-
C.
isDialectGroupOf
Indicates that one linguistic variety is a dialect group or cluster belonging to a broader language or language family.
-
D.
consideredDialectOf
Indicates that one language variety is regarded as a dialect of another language or linguistic standard.
-
E.
hasMajorDialectGroup
Indicates that an entity (typically a language) is associated with a primary or major dialect group to which it belongs.
- F. None of above. chosen
Provenance (4 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
| PDg | Predicate description generation | batch_69fe8dde8d008190b03dc0f97618073c |
completed | May 9, 2026, 1:29 a.m. |
Created at: April 30, 2026, 11:33 p.m.