Triple
T21439685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | システム情報学研究科 |
E528904
|
entity |
| Predicate | 所属大学種別 |
P90781
|
FINISHED |
| Object | 国立大学 |
—
|
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: 国立大学 | Statement: [システム情報学研究科, 所属大学種別, 国立大学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属大学種別 Context triple: [システム情報学研究科, 所属大学種別, 国立大学]
-
A.
typeOfUniversity
chosen
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
B.
publicUniversityType
Indicates that an institution is classified as a public university, typically funded and operated by government or state authorities.
-
C.
universityUnitType
Indicates the specific category or type of organizational unit within a university (such as department, faculty, school, or institute) that an entity belongs to.
-
D.
campusType
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
-
E.
university
Indicates that an educational institution of higher learning is associated with or attended by a given 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b6feb2e48190ba5649f16a8bbbda |
completed | April 22, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 6:05 p.m.