Triple
T17733414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokkai-gijidō-mae Station |
E442644
|
entity |
| Predicate | hasBarrierFreeFacilities |
P97044
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kokkai-gijidō-mae Station, hasBarrierFreeFacilities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBarrierFreeFacilities Context triple: [Kokkai-gijidō-mae Station, hasBarrierFreeFacilities, yes]
-
A.
hasStepFreeAccess
Indicates that a location, facility, or route can be accessed without using stairs, typically via ramps, lifts, or level entrances.
-
B.
hasWheelchairSpace
Indicates that an object, location, or vehicle includes designated space that can accommodate a wheelchair user.
-
C.
usesWheelchair
Indicates that an entity relies on or operates a wheelchair for mobility or transportation.
-
D.
hasLimitedFacilities
Indicates that an entity provides only a restricted or insufficient range or quality of facilities or services.
-
E.
wheelchairAccessibility
chosen
Indicates whether a place, service, or route is accessible and usable by people who use wheelchairs.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e86f188190a5dd7fb32fd04c7b |
completed | April 19, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:08 a.m.