Triple
T23779260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grefsen station |
E587763
|
entity |
| Predicate | nearbyTramStop |
P29999
|
FINISHED |
| Object | Grefsenplatået |
—
|
NE NERFINISHED |
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: Grefsenplatået | Statement: [Grefsen station, nearbyTramStop, Grefsenplatået]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyTramStop Context triple: [Grefsen station, nearbyTramStop, Grefsenplatået]
-
A.
hasNearbyTramStop
chosen
Indicates that a location has a tram stop situated within a short walking distance or close proximity.
-
B.
nearbyTerminus
Indicates that one terminus (end point or final stop) is located close to another terminus in space.
-
C.
nearestRailwayTerminus
Indicates that one location is the closest railway terminus to another specified place.
-
D.
nearbyHeritageStation
Indicates that one entity is located close to a heritage (historically or culturally significant) station.
-
E.
operatorOfNearestStation
Indicates that an entity is the organization or operator responsible for managing the station that is geographically closest to a given reference point or entity.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c62ad61c8190a552e88bce2bad1c |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:16 p.m.