Triple
T9993619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Secondary School Diploma |
E196946
|
entity |
| Predicate | typicalStudentAgeAtCompletion |
P34384
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [Ontario Secondary School Diploma, typicalStudentAgeAtCompletion, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStudentAgeAtCompletion Context triple: [Ontario Secondary School Diploma, typicalStudentAgeAtCompletion, 17]
-
A.
typicalAgeAtCompletion
chosen
Indicates the age at which an entity (such as a program, activity, or process) is typically completed.
-
B.
typicalLeavingAge
Indicates the age at which entities (such as people or groups) usually or most commonly leave a given context, place, or situation.
-
C.
typicalStudentDemographic
Indicates the usual or most common demographic group (e.g., age, background, characteristics) that students of a given institution, program, or course belong to.
-
D.
typicalStudentStatus
Indicates the usual or standard enrollment or academic standing that a student typically holds within an educational context.
-
E.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
- 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.