Triple
T30351792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St James's Palace Stakes |
E772013
|
entity |
| Predicate | raceSurfaceMaterial |
P50583
|
FINISHED |
| Object | grass |
—
|
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: grass | Statement: [St James's Palace Stakes, raceSurfaceMaterial, grass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceSurfaceMaterial Context triple: [St James's Palace Stakes, raceSurfaceMaterial, grass]
-
A.
hasRaceSurface
chosen
Indicates that an event or activity takes place on, or is associated with, a specific type of race surface.
-
B.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
C.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
D.
hasRacingSurfacePreference
Indicates that an entity has a favored or typical type of racing surface on which it prefers to compete or perform.
-
E.
outfieldSurface
Indicates the type or condition of the playing surface specifically in the outfield area of a sports field.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6823af4a4819095c725800c2be63e |
completed | May 2, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:56 p.m.