Triple
T11309947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪工業大学枚方キャンパス |
E267810
|
entity |
| Predicate | 国公私立の別 |
P35448
|
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: [大阪工業大学枚方キャンパス, 国公私立の別, 私立]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 国公私立の別 Context triple: [大阪工業大学枚方キャンパス, 国公私立の別, 私立]
-
A.
義理の息子
Indicates a relationship where someone is another person's son-in-law or stepson, i.e., a son by marriage or through a non-biological parental tie.
-
B.
isPrivateOrPublic
chosen
Indicates whether something is designated as private or public in terms of its accessibility or visibility.
-
C.
hasPublicEducationSystem
Indicates that a governing body or region maintains an organized, state-funded system of schools and educational institutions accessible to the general public.
-
D.
publicOrPrivate
Indicates whether something is designated as publicly accessible or restricted to private use or access.
-
E.
typeOfGovernmentInstitution
Indicates that one entity is a government institution of the type or category specified by the other 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.