Triple
T424533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niger–Congo languages |
E8177
|
entity |
| Predicate | majorSubgroup |
P4297
|
FINISHED |
| Object | Bantu languages |
—
|
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: Bantu languages | Statement: [Niger–Congo languages, majorSubgroup, Bantu languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorSubgroup Context triple: [Niger–Congo languages, majorSubgroup, Bantu languages]
-
A.
majorSect
Indicates that one religious sect is the primary, dominant, or most influential branch within a broader religious tradition or context.
-
B.
subfamily
Indicates that one taxonomic group is a subfamily within a larger family, representing an intermediate rank in biological classification.
-
C.
notableSubgroup
chosen
Indicates that one group forms a particularly significant or noteworthy subset within a larger group.
-
D.
majorFamily
Indicates that one entity belongs to or is a primary member of the same family group or lineage as another entity.
-
E.
suborder
Indicates that one entity is a more specific, subordinate ordering or arrangement within the broader ordering defined by another entity.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eed3e4cc8190ba6aff3bd1adb06f |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd6736c81909a6ca549f77b4345 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.