Triple
T2453890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona State Sun Devils baseball |
E53771
|
entity |
| Predicate | runnerUpFinishes |
P2683
|
FINISHED |
| Object | College World Series runner-up |
—
|
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: College World Series runner-up | Statement: [Arizona State Sun Devils baseball, runnerUpFinishes, College World Series runner-up]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpFinishes Context triple: [Arizona State Sun Devils baseball, runnerUpFinishes, College World Series runner-up]
-
A.
runnerUp
chosen
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
B.
runnerUpManager
Indicates that one entity serves as the manager or coach of another entity who finished as the runner-up in a competition or ranking.
-
C.
runnerUpDivision
Indicates that one entity is the second-place finisher (runner-up) within a specified division or category relative to another entity.
-
D.
runnerUpScore
Indicates the score achieved by the participant or entity that finished in second place in a competition or ranking.
-
E.
runnerUpLeague
Indicates that an entity finished in second place in a league competition.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
Created at: March 6, 2026, 9:44 p.m.