Triple
T29864619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Junior Hockey League |
E758417
|
entity |
| Predicate | hasNotableAlumniDestination |
P201494
|
FINISHED |
| Object | NCAA Division I programs |
—
|
NE NERFINISHED |
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: NCAA Division I programs | Statement: [Ontario Junior Hockey League, hasNotableAlumniDestination, NCAA Division I programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAlumniDestination Context triple: [Ontario Junior Hockey League, hasNotableAlumniDestination, NCAA Division I programs]
-
A.
hasNotableAlumniType
Indicates that an entity has notable alumni belonging to a specified category or type.
-
B.
hasNotableAlumniInstitution
Indicates that an institution is associated with one or more notable alumni who previously attended or graduated from it.
-
C.
notableAlumniRegion
Indicates that a region is known for having produced notable alumni associated with a particular institution or organization.
-
D.
hasNotableFacultyAlumnus
Indicates that an individual is a distinguished former student who is recognized as notable faculty at a given institution.
-
E.
positionOfNotableAlumnus
Indicates the professional role or office held by a notable alumnus in relation to an institution or organization.
- F. None of above. chosen
Provenance (4 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fffbb5d0188190b6d168de8626ff68 |
completed | May 10, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69fffa3bc1208190a277961385a4789f |
completed | May 10, 2026, 3:23 a.m. |
| PDg | Predicate description generation | batch_69fffbb513c881909063ecf12467f4a6 |
completed | May 10, 2026, 3:29 a.m. |
Created at: April 29, 2026, 5:51 p.m.