Triple
T926607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New College (University of Toronto) |
E19996
|
entity |
| Predicate | hasStudentOrganizations |
P1855
|
FINISHED |
| Object | student clubs |
—
|
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: student clubs | Statement: [New College (University of Toronto), hasStudentOrganizations, student clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentOrganizations Context triple: [New College (University of Toronto), hasStudentOrganizations, student clubs]
-
A.
hasStudentOrganization
chosen
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
B.
campusOrganization
Indicates that one entity is an organization that operates within, is based at, or is formally affiliated with a particular campus.
-
C.
hasAlumniNetwork
Indicates that an entity maintains or is associated with an organized network or community of its former members or graduates.
-
D.
hasStudentSection
Indicates that an entity (such as a course or class) is associated with a specific student section or subgroup of enrolled students.
-
E.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2970a4c8190b22cb2fd4706f62b |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.