Triple
T32941812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Tokyo Senate |
E842688
|
entity |
| Predicate | isUniversityWide |
P38593
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [University of Tokyo Senate, isUniversityWide, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUniversityWide Context triple: [University of Tokyo Senate, isUniversityWide, true]
-
A.
isRegionalCampus
Indicates that one educational institution functions as a regional campus or satellite location of another, typically larger, institution.
-
B.
isPublicUniversityCampus
Indicates that a given campus belongs to and is operated as part of a public (state- or government-funded) university.
-
C.
isPublicUniversityIn
Indicates that a university is a publicly funded institution located within a specified geographic or administrative region.
-
D.
isComprehensiveUniversity
chosen
Indicates that a university offers a wide range of academic disciplines and degree levels, typically including both undergraduate and graduate programs across multiple fields.
-
E.
isCampusFor
Indicates that a location serves as the campus associated with a particular institution or organization.
- 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_69f34949727c81909d195c97de3341c8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d13cb194819094bafe026c67c121 |
completed | May 3, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.