Triple
T37133331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warroad |
E919584
|
entity |
| Predicate | hasNotableHighSchoolSport |
—
|
GENERATED |
| Object | high school ice hockey |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableHighSchoolSport Context triple: [Warroad, hasNotableHighSchoolSport, high school ice hockey]
-
A.
hasNotableHighSchool
Indicates that an entity is associated with a high school that is particularly notable or significant in some recognized way.
-
B.
playedCollegeSport
Indicates that the subject participated in an organized college-level sport for the object institution.
-
C.
hasNotableSportAlumnus
Indicates that an institution or organization has at least one alumnus who is notable for achievements in sports.
-
D.
playedHighSchoolBasketballAt
Indicates that a person was a member of and participated on the basketball team of a particular high school.
-
E.
playedHighSchoolBasketballIn
Indicates that a person participated in playing basketball at the high school level in a specified location or institution.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.