Triple
T35318874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chūō Shinkansen |
E1019981
|
entity |
| Predicate | plannedExtensionEndStation |
P113337
|
FINISHED |
| Object | Shin-Osaka Station |
—
|
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: Shin-Osaka Station | Statement: [Chūō Shinkansen, plannedExtensionEndStation, Shin-Osaka Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedExtensionEndStation Context triple: [Chūō Shinkansen, plannedExtensionEndStation, Shin-Osaka Station]
-
A.
futureTerminusStation
chosen
Indicates that a station is designated to become a terminus (end point) of a transit line or route at a specified future time.
-
B.
endStationProvidesAccessTo
Indicates that a particular end station offers access or connectivity to another location, service, or network resource.
-
C.
terminusStation
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
-
D.
formerTerminalStation
Indicates that a location once served as the end point (terminus) of a transportation line or route but no longer holds that status.
-
E.
connectsToRailStation
Indicates that one entity has a direct link, route, or access connection to a rail station.
- 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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:03 p.m.