Triple
T35130948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common European Framework of Reference for Languages |
E1014432
|
entity |
| Predicate | lowestProficiencyLevel |
P113950
|
FINISHED |
| Object | A1 level |
—
|
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: A1 level | Statement: [Common European Framework of Reference for Languages, lowestProficiencyLevel, A1 level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowestProficiencyLevel Context triple: [Common European Framework of Reference for Languages, lowestProficiencyLevel, A1 level]
-
A.
lowestDegreeClass
Indicates that one class has the lowest degree (e.g., fewest connections, edges, or relationships) among a set of classes in a given structure or network.
-
B.
typicalLowestLevel
chosen
Indicates that something represents the most basic or minimal level that is commonly or normally found within a given context.
-
C.
lowestGrade
Indicates that one entity has the smallest or worst grade value compared to all other relevant entities in a given context.
-
D.
lowestCategory
Indicates that an entity belongs to the most specific or least general category within a classification hierarchy.
-
E.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78c680d208190b822194d4dd4cd62 |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.