Triple
T21535281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss national road safety strategy |
E531333
|
entity |
| Predicate | aimsToAlignWith |
P110437
|
FINISHED |
| Object | international road safety best practices |
—
|
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: international road safety best practices | Statement: [Swiss national road safety strategy, aimsToAlignWith, international road safety best practices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToAlignWith Context triple: [Swiss national road safety strategy, aimsToAlignWith, international road safety best practices]
-
A.
alignmentGoal
chosen
Indicates that an entity has a desired or target alignment state it aims to achieve or maintain.
-
B.
aimsToModel
Indicates that one entity is intended or designed to represent, simulate, or approximate the behavior, structure, or properties of another entity.
-
C.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
-
D.
followsAlignmentOf
Indicates that one entity adopts or conforms to the alignment, orientation, or positioning established by another entity.
-
E.
aimsToCapture
Indicates an intention or effort by one entity to take control of, seize, or gain possession of 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0ce8d08190b3233d7117a9b1ca |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.