Triple
T35130953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common European Framework of Reference for Languages |
E1014432
|
entity |
| Predicate | mapsLevelToGroup |
P9923
|
FINISHED |
| Object | A1 basic user |
—
|
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 basic user | Statement: [Common European Framework of Reference for Languages, mapsLevelToGroup, A1 basic user]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapsLevelToGroup Context triple: [Common European Framework of Reference for Languages, mapsLevelToGroup, A1 basic user]
-
A.
networkMapGroup
Indicates a grouping relationship where multiple network elements are organized or associated together within a defined network map or topology group.
-
B.
mappingBy
Indicates that one entity is related to another through a defined mapping or association, specifying which side or field governs the relationship.
-
C.
mapsTo
chosen
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
-
D.
mapsFrom
Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
-
E.
mapNumber
Indicates a correspondence where each element in one set or collection is assigned a specific numeric value in another set or domain.
- 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.