Triple
T11309927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 摂南大学 |
E267809
|
entity |
| Predicate | 設置国の教育制度 |
P340
|
FINISHED |
| Object | 日本の大学制度 |
—
|
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: 日本の大学制度 | Statement: [摂南大学, 設置国の教育制度, 日本の大学制度]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 設置国の教育制度 Context triple: [摂南大学, 設置国の教育制度, 日本の大学制度]
-
A.
introducedEducationSystem
Indicates that an entity established or brought a particular education system into use for another entity or context.
-
B.
hasPublicEducationSystem
Indicates that a governing body or region maintains an organized, state-funded system of schools and educational institutions accessible to the general public.
-
C.
hasOwnEducationSystem
Indicates that one entity possesses and administers its own distinct education system, separate from those of other entities.
-
D.
educationSetting
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
E.
educationSystem
chosen
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
- 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.