Triple
T23751210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skøyenåsen |
E586972
|
entity |
| Predicate | isResidentialFor |
P70690
|
FINISHED |
| Object | commuters to central Oslo |
—
|
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: commuters to central Oslo | Statement: [Skøyenåsen, isResidentialFor, commuters to central Oslo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isResidentialFor Context triple: [Skøyenåsen, isResidentialFor, commuters to central Oslo]
-
A.
isResidential
Indicates that something is used or designated primarily for people to live in, rather than for commercial, industrial, or other non-living purposes.
-
B.
isResidentialUnitOf
Indicates that a specific residential unit (e.g., apartment, house) belongs to or is part of a larger property, building, or complex.
-
C.
isResidentialBuildingIn
Indicates that a residential building is located within or belongs to a specified geographic area or administrative region.
-
D.
isResidentialBaseFor
chosen
Indicates that a location serves as the primary place of residence or home base for a person or group.
-
E.
hasResidentialBuilding
Indicates that an entity possesses, contains, or is associated with a residential building as part of its properties or components.
- 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcc289e08190a8036bb16dd0220a |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:13 p.m.