Triple
T25460534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noord metro station |
E638032
|
entity |
| Predicate | hasDesignatedUse |
P160466
|
FINISHED |
| Object | park and ride for commuters into Amsterdam |
—
|
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: park and ride for commuters into Amsterdam | Statement: [Noord metro station, hasDesignatedUse, park and ride for commuters into Amsterdam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesignatedUse Context triple: [Noord metro station, hasDesignatedUse, park and ride for commuters into Amsterdam]
-
A.
isDesignatedAccordingTo
Indicates that an entity has a particular status, role, or classification as formally specified by a given authority, standard, or designation scheme.
-
B.
isIntendedForUseBy
chosen
Indicates that something is designed, meant, or purposed to be used by a particular entity or group.
-
C.
hasOfficialUse
Indicates that something is used in an authorized or formally recognized capacity, typically by an official body or for official purposes.
-
D.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
E.
usesServiceDesignation
Indicates that one entity adopts or applies a particular service designation associated with another entity or offering.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 21, 2026, 2:12 p.m.