Triple
T9634157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College Hockey America |
E232885
|
entity |
| Predicate | formerlySponsored |
P17776
|
FINISHED |
| Object | men's ice hockey |
—
|
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: men's ice hockey | Statement: [College Hockey America, formerlySponsored, men's ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerlySponsored Context triple: [College Hockey America, formerlySponsored, men's ice hockey]
-
A.
formerSponsor
Indicates that an entity previously acted as a sponsor for another entity but no longer holds that sponsoring role.
-
B.
previousSponsor
chosen
Indicates that an entity formerly acted as a sponsor for another entity at some earlier time but no longer does so.
-
C.
originalSponsor
Indicates that one entity is the initial or primary sponsor responsible for supporting, funding, or backing another entity or activity.
-
D.
sponsorFrom
Indicates that one entity provides sponsorship or financial backing originating from a specified source entity.
-
E.
earlierVersionsSponsoredBy
Indicates that earlier versions of an item, work, or entity were financially or otherwise supported by a particular sponsor.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b2a0e2c8190ab5aaa223b1e1cde |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.