Triple
T25718570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nijō Station |
E644922
|
entity |
| Predicate | hasJRPlatforms |
P843
|
FINISHED |
| Object | 2 side platforms |
—
|
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: 2 side platforms | Statement: [Nijō Station, hasJRPlatforms, 2 side platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJRPlatforms Context triple: [Nijō Station, hasJRPlatforms, 2 side platforms]
-
A.
hasPlatformType
Indicates that an entity is associated with or characterized by a specific type or category of platform.
-
B.
hasNumberOfPlatforms
chosen
Indicates the relationship that specifies how many platforms are associated with a given entity.
-
C.
isKeyPlatformFor
Indicates that one entity serves as a primary or foundational platform that enables, supports, or underpins the activities, services, or operations of another entity.
-
D.
hasAtGradePlatforms
Indicates that the subject has platforms located at the same level as the surrounding ground or track (i.e., not elevated or underground).
-
E.
hasTargetPlatform
Indicates that something is intended to run on, be compatible with, or be deployed to a specified platform.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc64597c8190bfd867fb93834195 |
completed | May 2, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 9:49 p.m.