Triple
T19557371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsawwassen ferry terminal |
E489350
|
entity |
| Predicate | primaryMainlandDeparturePointFor |
P111691
|
FINISHED |
| Object | routes to Vancouver Island |
—
|
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: routes to Vancouver Island | Statement: [Tsawwassen ferry terminal, primaryMainlandDeparturePointFor, routes to Vancouver Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMainlandDeparturePointFor Context triple: [Tsawwassen ferry terminal, primaryMainlandDeparturePointFor, routes to Vancouver Island]
-
A.
hasMainPortOfDeparture
chosen
Indicates that an entity uses a specified port as its primary location for beginning journeys or departures.
-
B.
placeOfDeparture
Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
-
C.
isMainArrivalPointFor
Indicates that a location serves as the primary arrival point for a given entity or flow of entities.
-
D.
previousPrimaryAirportFor
Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
-
E.
parentAirport
Indicates that one airport serves as the primary or overarching facility from which another, subsidiary or associated airport is derived or managed.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d34d1bc81908e5e10f069655866 |
completed | April 20, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.