Triple
T8757581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Atlantic Conferences |
E208109
|
entity |
| Predicate | sponsorsSportLevel |
P790
|
FINISHED |
| Object | varsity |
—
|
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: varsity | Statement: [Middle Atlantic Conferences, sponsorsSportLevel, varsity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorsSportLevel Context triple: [Middle Atlantic Conferences, sponsorsSportLevel, varsity]
-
A.
alsoSponsorsSport
Indicates that an entity that sponsors one sport also sponsors another sport.
-
B.
sponsorSport
chosen
Indicates that one entity financially or materially supports a sport or sporting activity, typically in exchange for promotion or association.
-
C.
sportsSponsored
Indicates that one entity provides financial or material sponsorship to support another entity’s sports-related activities or events.
-
D.
sponsorLevel
Indicates the degree or tier of sponsorship that one entity provides to another.
-
E.
sponsorsMenSports
Indicates that a subject provides financial or material support specifically for men’s sports programs or teams.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddabdc88190ba50ef1833a815d0 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.