Triple
T14686736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverwood railway station |
E344925
|
entity |
| Predicate | hasElectronicPassengerInformationDisplays |
P17090
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Riverwood railway station, hasElectronicPassengerInformationDisplays, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectronicPassengerInformationDisplays Context triple: [Riverwood railway station, hasElectronicPassengerInformationDisplays, yes]
-
A.
hasPassengerInformationSystem
chosen
Indicates that an entity is equipped with a system that provides information to passengers, such as schedules, announcements, or travel updates.
-
B.
usedForPassengerInformation
Indicates that something serves the purpose of providing information to passengers.
-
C.
hasDepartureScreens
Indicates that a location or facility is equipped with screens displaying departure information for services such as trains, buses, or flights.
-
D.
hasElectronicTicketing
Indicates that an entity supports or provides electronic ticketing for access, booking, or transactions.
-
E.
hasPassengerCongestionControls
Indicates that an entity includes mechanisms or measures to manage, limit, or alleviate congestion caused by passengers.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58306548190b981956a83a84b95 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.