Triple
T36936834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東北大学大学院情報科学研究科 |
E913642
|
entity |
| Predicate | 研究領域 |
P934
|
FINISHED |
| Object | 計算機科学 |
—
|
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: 計算機科学 | Statement: [東北大学大学院情報科学研究科, 研究領域, 計算機科学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 研究領域 Context triple: [東北大学大学院情報科学研究科, 研究領域, 計算機科学]
-
A.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
B.
regionOfAcademicFocus
Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
-
C.
regionOfStudy
Indicates the academic or research area that is the focus of someone’s study or investigation.
-
D.
hasResearchArea
chosen
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
-
E.
researchComponent
Indicates that an entity functions as a part or element within a broader research activity, project, or study.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdfc6a1c8190ba9fd414a889fc72 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.