Triple
T300294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutgers Scarlet Knights football |
E6181
|
entity |
| Predicate | joinedBigTen |
P11243
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Rutgers Scarlet Knights football, joinedBigTen, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedBigTen Context triple: [Rutgers Scarlet Knights football, joinedBigTen, 2014]
-
A.
playedInLeagueThatBecame
Indicates that an entity participated in a sports league which later transformed into, merged into, or was rebranded as another specified league.
-
B.
joinedNFL
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
-
C.
joinedAmericanLeague
Indicates that an entity became a member of the American League, typically by entering or being admitted to that sports organization.
-
D.
collegeTeam
Indicates that one entity is a sports team that represents or is affiliated with a particular college or university.
-
E.
athleticDirector
Indicates that one entity serves as the athletic director (the person in charge of overseeing athletic programs) for another entity, such as a school or organization.
- F. None of above. chosen
Provenance (4 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93aff048190a633c8ae2b76a41f |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.