Triple
T28346016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduate School of Law and Politics, Kwansei Gakuin University |
E717954
|
entity |
| Predicate | mottoSharedWithParent |
P38625
|
FINISHED |
| Object | “Mastery for Service” |
—
|
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: “Mastery for Service” | Statement: [Graduate School of Law and Politics, Kwansei Gakuin University, mottoSharedWithParent, “Mastery for Service”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoSharedWithParent Context triple: [Graduate School of Law and Politics, Kwansei Gakuin University, mottoSharedWithParent, “Mastery for Service”]
-
A.
sharesMottoWith
chosen
Indicates that two entities use or are associated with the same motto.
-
B.
hasMottoOfParentInstitution
Indicates that an institution has a motto that is inherited from or identical to the motto of its parent institution.
-
C.
mottoIncluded
Indicates that a motto is present as part of, or associated with, the referenced entity.
-
D.
mottoDerivedFrom
Indicates that one motto is derived, adapted, or taken from another source, such as a phrase, text, or earlier motto.
-
E.
mottoPresent
Indicates that an entity currently has an official motto associated with it.
- 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c0736d88190a6214ac506ed0fb2 |
completed | May 2, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:43 a.m.