Triple
T25728514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bantu expansion |
E645175
|
entity |
| Predicate | mainLanguageFamilySpread |
P159026
|
FINISHED |
| Object | Niger-Congo 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: Niger-Congo languages | Statement: [Bantu expansion, mainLanguageFamilySpread, Niger-Congo languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainLanguageFamilySpread Context triple: [Bantu expansion, mainLanguageFamilySpread, Niger-Congo languages]
-
A.
mainLanguageFamilySpread
chosen
Indicates the primary language family through which a language or group of languages has historically spread or been disseminated.
-
B.
majorLanguageFamilies
Indicates that one entity is a primary or dominant language family to which the other entity (a language or group of languages) belongs.
-
C.
coversLanguageFamily
Indicates that one entity includes or encompasses a particular language family within its scope or subject matter.
-
D.
shareLanguageFamilyContext
Indicates that two entities are associated with languages that belong to the same language family or broader linguistic grouping within a given context.
-
E.
languageFamilyCoverage
Indicates the extent to which a given entity (such as a resource, model, or system) supports or covers the languages within a specified language family.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fcba52e4819097aa7db2e8f4333a |
completed | May 2, 2026, 1:31 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 11:09 p.m.