Triple
T14284774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A2 highway interchange near Breukelen |
E354140
|
entity |
| Predicate | hasSpeedLimitContext |
P53801
|
FINISHED |
| Object | subject to Dutch motorway speed limits |
—
|
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: subject to Dutch motorway speed limits | Statement: [A2 highway interchange near Breukelen, hasSpeedLimitContext, subject to Dutch motorway speed limits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeedLimitContext Context triple: [A2 highway interchange near Breukelen, hasSpeedLimitContext, subject to Dutch motorway speed limits]
-
A.
hasSpeedLimit
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
B.
hasSectionWithSpeedLimit
Indicates that an entity includes a segment or portion where a specific speed limit is in effect.
-
C.
hasSpeedRestriction
chosen
Indicates that an entity is subject to a specified limit on its allowable speed.
-
D.
hasSpeedLimitCategory
Indicates that an entity is associated with a specific category or classification of speed limit.
-
E.
hasSpeedLimitRange
Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.