Triple
T30347778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuchiin Academy |
E771910
|
entity |
| Predicate | hasStudentCouncilSecretary |
P196699
|
FINISHED |
| Object | Chika Fujiwara |
—
|
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: Chika Fujiwara | Statement: [Shuchiin Academy, hasStudentCouncilSecretary, Chika Fujiwara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentCouncilSecretary Context triple: [Shuchiin Academy, hasStudentCouncilSecretary, Chika Fujiwara]
-
A.
hasStudentCouncilVicePresident
Indicates that an entity serves as the vice president of the student council for another entity (typically a school or organization).
-
B.
hasCollegeCouncil
Indicates that a college is governed, advised, or overseen by a formal council body.
-
C.
hasStudentBodyAt
Indicates that an educational institution has its student body located at or associated with a particular site or campus.
-
D.
hasStudentOrganization
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
E.
hasStudentBodyFrom
Indicates that an educational institution draws or enrolls its student body from a specified geographic area, group, or source.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
| PDg | Predicate description generation | batch_69fe629a8d4c8190b4aa4dee39efc0a6 |
completed | May 8, 2026, 10:24 p.m. |
Created at: April 29, 2026, 7:56 p.m.