Triple
T27110456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Shoin Women’s University |
E686695
|
entity |
| Predicate | hasStudentDormitory |
P181788
|
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: [Osaka Shoin Women’s University, hasStudentDormitory, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentDormitory Context triple: [Osaka Shoin Women’s University, hasStudentDormitory, yes]
-
A.
hasDormitorySystem
Indicates that an institution operates or is associated with a system of dormitories for housing residents.
-
B.
hasDorm
chosen
Indicates that an institution or organization possesses or provides a dormitory facility.
-
C.
isDormitoryTownFor
Indicates that one town primarily serves as a residential or commuter base for people who work or study in another town or city.
-
D.
hasStudentHousingCooperationWith
Indicates that one institution collaborates with another to provide or manage student housing or accommodation services.
-
E.
hasStudentHousingNearby
Indicates that suitable student housing options are located close to the referenced entity.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 27, 2026, 8:53 a.m.