Triple
T28161881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luhya |
E714917
|
entity |
| Predicate | majorSubgroups |
P181193
|
FINISHED |
| Object | Bukusu |
—
|
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: Bukusu | Statement: [Luhya, majorSubgroups, Bukusu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorSubgroups Context triple: [Luhya, majorSubgroups, Bukusu]
-
A.
majorSubsect
Indicates that one group, movement, or tradition is a principal or primary subdivision within a larger religious, ideological, or organizational entity.
-
B.
mainSubgroupOf
chosen
Indicates that one group functions as the primary or principal subgroup within a larger, encompassing group.
-
C.
majorGroup
Indicates that an entity belongs to or is classified under a primary or overarching group within a broader categorization.
-
D.
majorSect
Indicates that one religious sect is the primary, dominant, or most influential branch within a broader religious tradition or context.
-
E.
subgroupCategory
Indicates that one category functions as a more specific subgroup within the scope of another, broader category.
- 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: April 27, 2026, 10:06 p.m.