Triple
T22450679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Risen Star Stakes |
E554979
|
entity |
| Predicate | surfaceHistory |
P148246
|
FINISHED |
| Object | Has been run on dirt at Fair Grounds |
—
|
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: Has been run on dirt at Fair Grounds | Statement: [Risen Star Stakes, surfaceHistory, Has been run on dirt at Fair Grounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceHistory Context triple: [Risen Star Stakes, surfaceHistory, Has been run on dirt at Fair Grounds]
-
A.
surfaceRecord
Indicates that an entity documents or presents information about the external aspects or observable features of another entity or phenomenon.
-
B.
surfaceDescription
Indicates that one entity provides a textual or qualitative description of the surface characteristics or appearance of another entity.
-
C.
surfaceStatus
Indicates the condition or state of a surface, such as whether it is intact, damaged, altered, or otherwise characterized.
-
D.
surfaceFeatureOf
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
-
E.
surfaceColor
Indicates the color that appears on the outer visible surface of an entity.
- F. None of above. chosen
Provenance (4 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:48 p.m.