Triple
T37061777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 学校法人常翔学園 |
E917341
|
entity |
| Predicate | 設置学校種別 |
P72238
|
FINISHED |
| Object | 大学 |
—
|
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: 大学 | Statement: [学校法人常翔学園, 設置学校種別, 大学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 設置学校種別 Context triple: [学校法人常翔学園, 設置学校種別, 大学]
-
A.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
B.
schoolSelectionType
Indicates the manner or criteria by which a school is chosen or assigned (e.g., selective admission, open enrollment, zoning).
-
C.
typeOfSchoolDistrict
Indicates the classification or category of a school district, specifying what kind of school district it is.
-
D.
parentSchoolType
Indicates the type or category of school to which a given school belongs as its parent institution.
-
E.
schoolClassification
chosen
Indicates how a school is categorized within an educational system, such as by level, type, or other official classification.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.