Triple
T35202642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | York Lions men's ice hockey team |
E1016449
|
entity |
| Predicate | playsForInstitution |
P144348
|
FINISHED |
| Object | York University |
—
|
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: York University | Statement: [York Lions men's ice hockey team, playsForInstitution, York University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsForInstitution Context triple: [York Lions men's ice hockey team, playsForInstitution, York University]
-
A.
servesAsAlmaMaterOf
Indicates that an educational institution is the alma mater of a person or entity, meaning they previously studied or graduated there.
-
B.
playedForCollegeTeamFrom
Indicates that an individual was a member of and played for a specific college team starting in a given year.
-
C.
teamInstitution
chosen
Indicates that a team is formally associated with, represents, or is part of a particular institution.
-
D.
playedCollegeTeam
Indicates that an athlete was a member of and competed for a particular college sports team.
-
E.
memberCollege
Indicates that a college is a constituent or affiliated unit within a larger organization, such as a university or educational system.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.