Triple
T35130949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common European Framework of Reference for Languages |
E1014432
|
entity |
| Predicate | highestProficiencyLevel |
P59736
|
FINISHED |
| Object | C2 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: C2 level | Statement: [Common European Framework of Reference for Languages, highestProficiencyLevel, C2 level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestProficiencyLevel Context triple: [Common European Framework of Reference for Languages, highestProficiencyLevel, C2 level]
-
A.
qualificationLevel
Indicates the degree or rank of competence, certification, or formal credentials required for or possessed in relation to something.
-
B.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
C.
highestPass
Indicates that an entity has achieved the greatest passing value, score, or level among a set of compared entities.
-
D.
skillCeiling
Indicates the maximum level of proficiency or performance that can be achieved in a given skill, activity, or system.
-
E.
certificationLevel
chosen
Indicates the specific rank or degree of formal qualification or authorization that an entity has achieved within a defined certification system.
- 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_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:02 p.m.