Triple
T35858946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Minnesota softball program |
E1036586
|
entity |
| Predicate | surfaceTypeAtHomeField |
P12326
|
FINISHED |
| Object | outdoor softball field |
—
|
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: outdoor softball field | Statement: [University of Minnesota softball program, surfaceTypeAtHomeField, outdoor softball field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceTypeAtHomeField Context triple: [University of Minnesota softball program, surfaceTypeAtHomeField, outdoor softball field]
-
A.
homeFieldSurface
chosen
Indicates the type of playing surface used at a team's home field or stadium.
-
B.
surfaceAtHomeStadium
Indicates the type of playing surface present at a team's home stadium.
-
C.
homeGroundType
Indicates the type or category of venue that serves as an entity’s designated home ground.
-
D.
homeFieldSurfaceColor
Indicates the color of the playing surface at an entity’s home field or home venue.
-
E.
homeArenaSurface
Indicates the type of playing surface used in an entity’s home arena.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.