Triple
T23507089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornell Big Red men’s squash program |
E572308
|
entity |
| Predicate | representsInNCAA |
P121652
|
FINISHED |
| Object | Cornell 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: Cornell University | Statement: [Cornell Big Red men’s squash program, representsInNCAA, Cornell University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsInNCAA Context triple: [Cornell Big Red men’s squash program, representsInNCAA, Cornell University]
-
A.
typeOfNCAAInvolvement
Indicates the specific way or role in which an entity is involved with or participates in the NCAA.
-
B.
NCAA_status
Indicates the type or level of affiliation an entity has with the NCAA, such as membership, division, or eligibility status.
-
C.
leagueDuringCollege
Indicates the sports league or competitive organization in which an individual participated while they were in college.
-
D.
collegeSportsContext
Indicates a relationship, event, or situation that specifically occurs within or is shaped by the environment of college or university sports.
-
E.
schoolRepresented
chosen
Indicates that one entity serves as the representative or official delegate of a school in relation to another entity or context.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a901c9908190a781e79fe8b96743 |
completed | April 29, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:07 p.m.