Triple
T21368875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E40 motorway |
E526996
|
entity |
| Predicate | designationByUNECE |
P144005
|
FINISHED |
| Object | E40 |
—
|
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: E40 | Statement: [E40 motorway, designationByUNECE, E40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designationByUNECE Context triple: [E40 motorway, designationByUNECE, E40]
-
A.
classificationByEuropeanUnion
Indicates the categorization or regulatory status assigned to an entity according to European Union classification systems or standards.
-
B.
homologationClass
Indicates the specific regulatory or competitive category under which something (typically a vehicle or product) has been officially approved or certified.
-
C.
designationFor
Indicates that one entity serves as the official title, label, or role name assigned to another entity.
-
D.
designationCategory
Indicates the classification or type of designation assigned to an entity within a broader designation system.
-
E.
designationUnit
Indicates that one entity serves as the unit or standard of measure used to designate, label, or quantify another entity.
- F. None of above. chosen
Provenance (4 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baf5fb4819093f8d8afdd83ffdb |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e61b3e47f881908fb2aac9bd2bfb58 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 16, 2026, 5:09 p.m.