Triple
T24685804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Røa Line |
E611282
|
entity |
| Predicate | isPartOfFareZoneSystem |
P72429
|
FINISHED |
| Object | Ruter fare system |
—
|
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: Ruter fare system | Statement: [Røa Line, isPartOfFareZoneSystem, Ruter fare system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfFareZoneSystem Context triple: [Røa Line, isPartOfFareZoneSystem, Ruter fare system]
-
A.
hasFareZoneSystem
chosen
Indicates that an entity uses or is associated with a particular fare zone system for determining travel costs or ticketing.
-
B.
fareZoneIncludes
Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
-
C.
fareZoneOfStationIdentified
Indicates that the specific fare zone associated with a given station has been identified.
-
D.
fareZoneAuthority
Indicates that an authority or organization is responsible for defining, managing, or overseeing a specific fare zone.
-
E.
hasFareZone
Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 3:18 a.m.