Triple
T5265560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Gators gymnastics |
E118929
|
entity |
| Predicate | nationalRunnerUpFinish |
P39931
|
FINISHED |
| Object | 1998 NCAA women’s gymnastics championship |
—
|
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: 1998 NCAA women’s gymnastics championship | Statement: [Florida Gators gymnastics, nationalRunnerUpFinish, 1998 NCAA women’s gymnastics championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalRunnerUpFinish Context triple: [Florida Gators gymnastics, nationalRunnerUpFinish, 1998 NCAA women’s gymnastics championship]
-
A.
hasNationalRunnerUpFinishes
chosen
Indicates that an entity has achieved one or more second-place (runner-up) finishes in a national-level competition or championship.
-
B.
conferenceOfRunnerUp
Indicates the conference or league affiliation to which the runner-up entity belongs.
-
C.
runnerUp
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
D.
gamesWonByRunnerUp
Indicates the number of games won by the runner-up in a competition or match.
-
E.
regionOfRunnerUp
Indicates the geographic region associated with the runner-up in a competition or event.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.