Triple
T11469132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuu languages |
E271854
|
entity |
| Predicate | languageFamilyRelation |
P99455
|
FINISHED |
| Object | not demonstrably related to 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: not demonstrably related to Bantu languages | Statement: [Tuu languages, languageFamilyRelation, not demonstrably related to Bantu languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageFamilyRelation Context triple: [Tuu languages, languageFamilyRelation, not demonstrably related to Bantu languages]
-
A.
languageFamilyAssociated
Indicates that there is an association or connection between a language and a particular language family.
-
B.
languageFamilyBranchOf
Indicates that one language family branch is a sub-group or subdivision within a larger language family.
-
C.
inLanguageFamily
Indicates that two languages belong to the same linguistic family or classification.
-
D.
languageFamilyAssociation
Indicates an association where one entity belongs to, is classified under, or is related to a particular language family.
-
E.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:35 p.m.