Triple
T30347766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuchiin Academy |
E771910
|
entity |
| Predicate | hasStudentCouncil |
P1855
|
FINISHED |
| Object | Shuchiin Academy Student Council |
—
|
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: Shuchiin Academy Student Council | Statement: [Shuchiin Academy, hasStudentCouncil, Shuchiin Academy Student Council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentCouncil Context triple: [Shuchiin Academy, hasStudentCouncil, Shuchiin Academy Student Council]
-
A.
hasStudentBodyAt
Indicates that an educational institution has its student body located at or associated with a particular site or campus.
-
B.
hasStudentOrganization
chosen
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
C.
hasCollegeCouncil
Indicates that a college is governed, advised, or overseen by a formal council body.
-
D.
hasStudentBodyFrom
Indicates that an educational institution draws or enrolls its student body from a specified geographic area, group, or source.
-
E.
hasStudentUnionStatus
Indicates that an entity holds a recognized status or designation related to a student union.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: April 29, 2026, 7:56 p.m.