Triple
T30312836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritsumeikan Asia Pacific University |
E770971
|
entity |
| Predicate | graduateSchool |
P169073
|
FINISHED |
| Object | Graduate School of Asia Pacific Studies |
—
|
NE NERFINISHED |
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: Graduate School of Asia Pacific Studies | Statement: [Ritsumeikan Asia Pacific University, graduateSchool, Graduate School of Asia Pacific Studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graduateSchool Context triple: [Ritsumeikan Asia Pacific University, graduateSchool, Graduate School of Asia Pacific Studies]
-
A.
college
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
B.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
C.
collegeLevel
Indicates the academic level or year of study a person has reached within a college or university program.
-
D.
advancedDegreeComponent
Indicates that something is a required or constituent part of an advanced academic degree program.
-
E.
includesHigherDegrees
Indicates that one entity’s set of academic degrees contains at least one degree that is at a higher level than those in another entity’s set.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6816ceb688190b2e5f01205f3c550 |
completed | May 2, 2026, 10:57 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 29, 2026, 7:50 p.m.