Triple
T32476208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spacia limited express |
E829982
|
entity |
| Predicate | primaryEndStation |
P15150
|
FINISHED |
| Object | Tobu Nikko Station |
E1141886
|
NE 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: Tobu Nikko Station | Statement: [Spacia limited express, primaryEndStation, Tobu Nikko Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEndStation Context triple: [Spacia limited express, primaryEndStation, Tobu Nikko Station]
-
A.
startingStation
Indicates the station or location where a journey, route, or trip begins.
-
B.
endStationProvidesAccessTo
Indicates that a particular end station offers access or connectivity to another location, service, or network resource.
-
C.
formerTerminalStation
Indicates that a location once served as the end point (terminus) of a transportation line or route but no longer holds that status.
-
D.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
E.
terminusStation
chosen
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
- F. None of above.
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_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a5c700f6ab0819093a4dceb9e836f37 |
completed | July 19, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:58 a.m.