Triple
T11246089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 法学研究科 |
E266207
|
entity |
| Predicate | 設置国立大学 |
P98663
|
FINISHED |
| Object | 東北大学 |
—
|
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: 東北大学 | Statement: [法学研究科, 設置国立大学, 東北大学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 設置国立大学 Context triple: [法学研究科, 設置国立大学, 東北大学]
-
A.
settingInstitution
Indicates that an entity is associated with or occurs within a particular institution that serves as its setting or context.
-
B.
旧制大学区分
Indicates a classification relationship that specifies how something is categorized according to the former (pre-war) Japanese university system.
-
C.
hasCentralUniversityStatus
Indicates that an institution holds the official designation or recognition as a central or nationally governed university.
-
D.
governingUniversitySystem
Indicates that one entity functions as the overarching university system that administers, regulates, or oversees the other entity (a member institution or campus).
-
E.
isNationalAcademyOf
Indicates that an organization is the official national academy representing a country in a particular field or set of disciplines.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.