Triple
T37485122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 早稲田大学理工学部 |
E931509
|
entity |
| Predicate | 国際連携 |
P128118
|
FINISHED |
| Object | 海外大学との交換留学プログラムを有する |
—
|
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: 海外大学との交換留学プログラムを有する | Statement: [早稲田大学理工学部, 国際連携, 海外大学との交換留学プログラムを有する]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 国際連携 Context triple: [早稲田大学理工学部, 国際連携, 海外大学との交換留学プログラムを有する]
-
A.
internationalIntegration
Indicates the extent to which entities are connected, coordinated, or unified across national boundaries within shared systems, processes, or structures.
-
B.
cooperatesInternationallyWith
chosen
Indicates that one entity collaborates or works jointly with another entity across national borders in an international context.
-
C.
worldAssociation
Indicates a broad, often global-level connection or affiliation between entities, such as membership, involvement, or linkage within a worldwide context.
-
D.
involvedInternationalOrganization
Indicates that an entity participates in, is affiliated with, or plays a role within an international organization.
-
E.
hasInternationalRelation
Indicates that one entity maintains some form of official or recognized international relationship or interaction 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.