Triple
T18449451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward’s Island ferry dock |
E450739
|
entity |
| Predicate | isMainArrivalPointFor |
P131665
|
FINISHED |
| Object | visitors to Ward’s 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: visitors to Ward’s Island | Statement: [Ward’s Island ferry dock, isMainArrivalPointFor, visitors to Ward’s Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainArrivalPointFor Context triple: [Ward’s Island ferry dock, isMainArrivalPointFor, visitors to Ward’s Island]
-
A.
hasMainPortOfDeparture
Indicates that an entity uses a specified port as its primary location for beginning journeys or departures.
-
B.
isMainBusStationFor
Indicates that one bus station serves as the primary or central station for a particular area, network, or service.
-
C.
isStopoverSiteFor
Indicates that a location serves as a temporary stopping or resting point along the route or journey of another entity.
-
D.
isPassengerStationFor
Indicates that a station serves as a boarding and alighting point for passengers on a particular transportation line or service.
-
E.
isTouristTransitPoint
Indicates that a location serves as a transit hub or intermediate stop primarily used by tourists while traveling between destinations.
- F. None of above. chosen
Provenance (4 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52646949c81909664e864224675a6 |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:30 a.m.