Triple
T27305945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spikkestad |
E689055
|
entity |
| Predicate | hasCommuterDestination |
P61070
|
FINISHED |
| Object | Oslo |
—
|
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: Oslo | Statement: [Spikkestad, hasCommuterDestination, Oslo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommuterDestination Context triple: [Spikkestad, hasCommuterDestination, Oslo]
-
A.
commuterDestination
chosen
Indicates that a location serves as the endpoint or target place to which a person regularly travels for commuting.
-
B.
hasCommuterOrientation
Indicates that an entity is designed or intended primarily for use by commuters, emphasizing suitability for regular travel between home and work or study.
-
C.
hasCommuterPattern
Indicates that there is a characteristic or recurring pattern in how an entity regularly travels between locations, typically for work or daily activities.
-
D.
hasTramDestination
Indicates that a tram route or service goes to or terminates at a specified destination.
-
E.
hasCommuterLinks
Indicates that there are established transportation connections enabling regular travel between two locations.
- 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_69ef355b931c8190a63cafaf7bcc008b |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 27, 2026, 11:24 a.m.