Triple
T9993635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Secondary School Diploma |
E196946
|
entity |
| Predicate | alsoOfferedAt |
P9675
|
FINISHED |
| Object | public secondary schools in Ontario |
—
|
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: public secondary schools in Ontario | Statement: [Ontario Secondary School Diploma, alsoOfferedAt, public secondary schools in Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoOfferedAt Context triple: [Ontario Secondary School Diploma, alsoOfferedAt, public secondary schools in Ontario]
-
A.
offeredIn
chosen
Indicates that something is made available or provided within a particular context, setting, or medium.
-
B.
associatedOffering
Indicates a relationship where one offering is linked or connected to another offering as related or contextually relevant.
-
C.
usedAsOfferingAt
Indicates that something is employed or presented as an offering in a particular context, place, or event.
-
D.
alsoSoldAs
Indicates that one item is marketed or available under an alternative name, label, or product identity.
-
E.
offersMarket
Indicates that one entity provides or makes available a market (as a venue or opportunity for buying, selling, or trading) to another entity.
- 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.