Triple
T27335155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stovner station |
E689921
|
entity |
| Predicate | hasPlatformAccessibility |
P127464
|
FINISHED |
| Object | step-free |
—
|
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: step-free | Statement: [Stovner station, hasPlatformAccessibility, step-free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlatformAccessibility Context triple: [Stovner station, hasPlatformAccessibility, step-free]
-
A.
hasPlatformAccessRamp
Indicates that an entity provides a ramp that enables accessible access to a platform.
-
B.
hasAccessibilityVariation
Indicates that one entity differs from another in terms of accessibility features, conditions, or support.
-
C.
hasAccessibleAccess
chosen
Indicates that an entity provides a form of access that is usable and reachable under defined accessibility conditions or standards.
-
D.
accessibilityFeatures
Indicates the specific tools, settings, or design elements provided to make something usable or understandable for people with disabilities or diverse access needs.
-
E.
hasPlatformType
Indicates that an entity is associated with or characterized by a specific type or category of platform.
- 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_69ef355e5b388190a8fc1eba9b4a6656 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 11:40 a.m.