Triple
T22995003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaughan Secondary School |
E572162
|
entity |
| Predicate | hasSportProgram |
P135320
|
FINISHED |
| Object | basketball |
—
|
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: basketball | Statement: [Vaughan Secondary School, hasSportProgram, basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportProgram Context triple: [Vaughan Secondary School, hasSportProgram, basketball]
-
A.
hasAthleticProgramType
Indicates that an institution’s athletic program belongs to or is classified under a specific type or category of athletic program.
-
B.
hasSportsOffered
chosen
Indicates that an entity provides or makes available certain sports as options or activities.
-
C.
hasExtracurricularProgram
Indicates that an institution or organization offers one or more organized extracurricular programs or activities beyond its primary curriculum or mission.
-
D.
hasYouthProgram
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
-
E.
hasStrongProgramIn
Indicates that an institution or organization offers a particularly high-quality or well-regarded program in a specified field or area.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f25af48190a98b7baeec824ae6 |
completed | April 29, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:50 p.m.