Triple
T12993353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinkel, Netherlands |
E321969
|
entity |
| Predicate | hasRoadTrafficRegulation |
P7767
|
FINISHED |
| Object | European Union road standards |
—
|
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: European Union road standards | Statement: [Vinkel, Netherlands, hasRoadTrafficRegulation, European Union road standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadTrafficRegulation Context triple: [Vinkel, Netherlands, hasRoadTrafficRegulation, European Union road standards]
-
A.
hasTrafficRegime
Indicates that a specified traffic control or regulatory system applies to a given road, area, or transport context.
-
B.
hasTrafficControl
Indicates that some form of traffic management or regulation mechanism is present or applied to a given route, intersection, or transportation element.
-
C.
hasRoadSign
Indicates that one entity possesses, displays, or is associated with a particular road sign.
-
D.
roadTrafficRuleJurisdiction
chosen
Indicates the jurisdiction or authority under whose road traffic rules a given situation, entity, or action is governed.
-
E.
hasTrafficSignals
Indicates that traffic control signals are present at or associated with a given location or roadway feature.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:44 p.m.