Triple
T5459268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I Baseball |
E122555
|
entity |
| Predicate | ballparkDimensions |
P25457
|
FINISHED |
| Object | similar to professional baseball but vary by school |
—
|
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: similar to professional baseball but vary by school | Statement: [NCAA Division I Baseball, ballparkDimensions, similar to professional baseball but vary by school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ballparkDimensions Context triple: [NCAA Division I Baseball, ballparkDimensions, similar to professional baseball but vary by school]
-
A.
ballparkCharacteristic
chosen
Indicates a characteristic, feature, or attribute that is associated with a ballpark.
-
B.
ballpark
Indicates an approximate or rough estimation of a value, rather than an exact or precise figure.
-
C.
ballparkCity
Indicates that a ballpark is located in a particular city.
-
D.
ballparkAL
Indicates an approximate or rough estimate of a value, rather than an exact or precise figure.
-
E.
formerBallpark
Indicates that a location previously served as a ballpark but no longer functions in that role.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.