Triple
T37061773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 学校法人常翔学園 |
E917341
|
entity |
| Predicate | 設置者種別 |
P38521
|
FINISHED |
| Object | 私立 |
—
|
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: 私立 | Statement: [学校法人常翔学園, 設置者種別, 私立]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 設置者種別 Context triple: [学校法人常翔学園, 設置者種別, 私立]
-
A.
creatorOfSetting
Indicates that one entity is the originator or designer of the environment, context, or backdrop in which another entity exists or an event takes place.
-
B.
settlerType
chosen
Indicates the specific category or classification of a settler involved in the relationship or context.
-
C.
workTypeOfSetting
Indicates the type or nature of work activity that characterizes or occurs within a particular setting.
-
D.
eraOfSetting
Indicates the historical or temporal period in which the setting of something (such as a story, event, or work) takes place.
-
E.
speciesOfPrimaryUser
Indicates the biological species to which the primary user of something (e.g., a device, service, or resource) belongs.
- 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.