Triple
T11246092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 法学研究科 |
E266207
|
entity |
| Predicate | 教育研究分野 |
P58460
|
FINISHED |
| Object | 公法 |
—
|
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: 公法 | Statement: [法学研究科, 教育研究分野, 公法]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 教育研究分野 Context triple: [法学研究科, 教育研究分野, 公法]
-
A.
大学院
Indicates that an entity is a graduate school or pertains to graduate-level education or affiliation.
-
B.
educationField
Indicates the academic or professional discipline in which an entity has been educated or trained.
-
C.
educationalSector
Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
-
D.
housesAcademicDiscipline
chosen
Indicates that an entity serves as the location or institutional home where a particular academic discipline is based, organized, or conducted.
-
E.
regionOfAcademicFocus
Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91c045c81908a9024a8aee32f4d |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.