Triple
T20173491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSU |
E492027
|
entity |
| Predicate | fieldSurfaceType |
P12326
|
FINISHED |
| Object | artificial turf |
—
|
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: artificial turf | Statement: [GSU, fieldSurfaceType, artificial turf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldSurfaceType Context triple: [GSU, fieldSurfaceType, artificial turf]
-
A.
outfieldSurface
Indicates the type or condition of the playing surface specifically in the outfield area of a sports field.
-
B.
homeGroundType
Indicates the type or category of venue that serves as an entity’s designated home ground.
-
C.
homeFieldSurface
chosen
Indicates the type of playing surface used at a team's home field or stadium.
-
D.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
E.
infieldSurface
Indicates that one entity serves as the playing surface material or type for the infield area of another entity (such as a sports field or stadium).
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684a33688190b22cfc16907e76bc |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.