Triple
T27638243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe à plusieurs vitesses |
E696521
|
entity |
| Predicate | libellé |
P21560
|
FINISHED |
| Object | Europe à plusieurs vitesses |
—
|
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: Europe à plusieurs vitesses | Statement: [Europe à plusieurs vitesses, libellé, Europe à plusieurs vitesses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: libellé Context triple: [Europe à plusieurs vitesses, libellé, Europe à plusieurs vitesses]
-
A.
labelOf
chosen
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
B.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
C.
labelIndication
Indicates that a label or designation is assigned to an entity to specify its indication, purpose, or intended use.
-
D.
relèveDe
Indicates that one entity is under the authority, responsibility, or jurisdiction of another entity.
-
E.
labelDepicts
Indicates that one entity serves as a label or caption that visually or textually represents, illustrates, or describes 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6318e4c9c8190960df19eed7546fa |
completed | May 2, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:25 p.m.