Triple
T26285703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holmenkollen station |
E661130
|
entity |
| Predicate | hasCrossPlatformAccess |
P32010
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Holmenkollen station, hasCrossPlatformAccess, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrossPlatformAccess Context triple: [Holmenkollen station, hasCrossPlatformAccess, no]
-
A.
hasCrossPlatformInterchange
chosen
Indicates that there is a transfer point where passengers can switch between different transportation platforms or modes within the same location.
-
B.
isMultiplatform
Indicates that something is designed to operate or be available across multiple platforms or environments.
-
C.
isCrossPlatformOnClientSide
Indicates that the subject can operate across multiple platforms or environments specifically on the client side.
-
D.
hasBridgeAccess
Indicates that an entity is permitted to enter or use a specific bridge or bridge-controlled area.
-
E.
hasCompanionPlatform
Indicates that an entity is associated with or supported by an additional platform that accompanies or complements it.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 26, 2026, 10:04 p.m.