Triple
T35158277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doshisha schools |
E1015187
|
entity |
| Predicate | notableCampusLocation |
—
|
GENERATED |
| Object | Imadegawa, Kyoto |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCampusLocation Context triple: [Doshisha schools, notableCampusLocation, Imadegawa, Kyoto]
-
A.
notableCampusArea
Indicates that a campus area is particularly significant, prominent, or well-known within the context of the institution.
-
B.
campusLandmark
chosen
Indicates that something serves as a notable or recognizable landmark located on or associated with a campus.
-
C.
positionOnCampus
Indicates the spatial location or placement of an entity within the boundaries or layout of a campus.
-
D.
notableInstitution
Indicates that an institution holds particular significance, prominence, or recognition in relation to the subject.
-
E.
cityCampusServes
Indicates that a city campus provides services, resources, or support to a particular population, area, or institution.
- F. None of above.
Provenance (1 batch)
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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.