Triple
T222364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Championship |
E4242
|
entity |
| Predicate | typeOfQualification |
P6640
|
FINISHED |
| Object | cup winner qualifies for continental competition |
—
|
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: cup winner qualifies for continental competition | Statement: [Canadian Championship, typeOfQualification, cup winner qualifies for continental competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfQualification Context triple: [Canadian Championship, typeOfQualification, cup winner qualifies for continental competition]
-
A.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
B.
qualifiesFrom
chosen
Indicates that one entity gains an official status, capability, or eligibility as a result of successfully completing or meeting the requirements of another entity.
-
C.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
D.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
E.
courseCertification
Indicates that an entity has been formally certified as having successfully completed a particular course.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.