Triple
T9993616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Secondary School Diploma |
E196946
|
entity |
| Predicate | requiresCommunityInvolvementHours |
P86851
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ontario Secondary School Diploma, requiresCommunityInvolvementHours, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresCommunityInvolvementHours Context triple: [Ontario Secondary School Diploma, requiresCommunityInvolvementHours, yes]
-
A.
volunteerRequirement
Indicates that an entity has a condition or obligation specifying the need for volunteers or volunteer participation.
-
B.
requiresParticipationOf
chosen
Indicates that one entity’s occurrence, validity, or completion depends on the active involvement or participation of another entity.
-
C.
hasCommunityIn
Indicates that a community is present, active, or established within a specified location, platform, or context.
-
D.
hasAdultVolunteers
Indicates that an entity is associated with one or more adult individuals who volunteer their time or services for it.
-
E.
hasCommunityEfforts
Indicates that an entity engages in or is associated with organized activities or initiatives intended to benefit a community.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb982d5c81909779c6e9d780b399 |
completed | April 2, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.