Triple
T33342414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongo languages |
E853705
|
entity |
| Predicate | hasStandardizedVariety |
P199063
|
FINISHED |
| Object | Kikongo ya leta |
—
|
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: Kikongo ya leta | Statement: [Kongo languages, hasStandardizedVariety, Kikongo ya leta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandardizedVariety Context triple: [Kongo languages, hasStandardizedVariety, Kikongo ya leta]
-
A.
hasNonStandardizedVarieties
Indicates that an entity possesses forms or variants that are not governed by a uniform or officially established standard.
-
B.
hasStandardVarietyRole
chosen
Indicates that an entity functions as the standard or reference variety within a set of related varieties.
-
C.
isPrimaryVarietyOf
Indicates that one variety is the main or principal form of another related variety or entity.
-
D.
isRecognizedAsVarietyOf
Indicates that one entity is acknowledged or classified as a specific variety or subtype of another entity.
-
E.
isOldVariety
Indicates that one entity is an older or traditional variety or form of 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: May 1, 2026, 1:34 a.m.