Triple
T33865351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Osborne Field |
E868032
|
entity |
| Predicate | isPlayingSurfaceOf |
P58186
|
FINISHED |
| Object | Memorial Stadium |
—
|
NE NERFINISHED |
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: Memorial Stadium | Statement: [Tom Osborne Field, isPlayingSurfaceOf, Memorial Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPlayingSurfaceOf Context triple: [Tom Osborne Field, isPlayingSurfaceOf, Memorial Stadium]
-
A.
playsOnSurface
Indicates that an entity performs or engages in an activity while being in contact with or supported by a particular surface.
-
B.
hasPlaySurfaceDimensions
Indicates the specific measurements or size characteristics that define the dimensions of a play surface.
-
C.
usesSurface
chosen
Indicates that one entity employs or interacts with another entity as a surface or platform for its action or function.
-
D.
hasSurfaceLevel
Indicates that one entity possesses or is characterized by a particular degree or measure of surface level (e.g., depth, detail, or superficiality).
-
E.
isSurfaceSensitive
Indicates that the property, behavior, or measurement depends strongly on the characteristics or condition of a surface rather than the bulk material.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f700a15edc8190a338cb7d5b703b9d |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5a4f7881909324eb3c20ca96f1 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:47 a.m.