Triple
T6511087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namibia and Botswana |
E150133
|
entity |
| Predicate | shareLanguageFamilyPresence |
P64840
|
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: [Namibia and Botswana, shareLanguageFamilyPresence, Bantu languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareLanguageFamilyPresence Context triple: [Namibia and Botswana, shareLanguageFamilyPresence, Bantu languages]
-
A.
isInLanguageFamily
Indicates that a language belongs to, or is classified within, a particular language family based on shared linguistic ancestry or characteristics.
-
B.
inLanguageFamily
Indicates that two languages belong to the same linguistic family or classification.
-
C.
usesLanguageFamily
chosen
Indicates that an entity communicates or operates using a language that belongs to a specified language family.
-
D.
languageFamilyAssociated
Indicates that there is an association or connection between a language and a particular language family.
-
E.
languageFamilyStatus
Indicates the classification or recognition status of a language within a particular language family (e.g., primary, branch, extinct, or disputed).
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3ad7d081909162f1a625fc52b1 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.