Triple
T27849389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 総合文化研究科 |
E703907
|
entity |
| Predicate | 教育研究対象 |
P778
|
FINISHED |
| Object | 学際領域 |
—
|
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: 学際領域 | Statement: [総合文化研究科, 教育研究対象, 学際領域]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 教育研究対象 Context triple: [総合文化研究科, 教育研究対象, 学際領域]
-
A.
educationalField
Indicates the academic or disciplinary area in which an educational activity, program, or qualification is focused.
-
B.
educationAndCulture
Indicates a relationship where activities, policies, or influences connect educational processes with cultural development, preservation, or expression.
-
C.
academicFocus
chosen
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
D.
educationField
Indicates the academic or professional discipline in which an entity has been educated or trained.
-
E.
referentEducation
Indicates that one entity serves as an educational background, qualification, or schooling associated with another 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 6:09 p.m.