Triple
T3557422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brigadier Gerard Stakes |
E75251
|
entity |
| Predicate | raceDiscipline |
P45640
|
FINISHED |
| Object | flat racing |
—
|
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: flat racing | Statement: [Brigadier Gerard Stakes, raceDiscipline, flat racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceDiscipline Context triple: [Brigadier Gerard Stakes, raceDiscipline, flat racing]
-
A.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
B.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
-
C.
esportDiscipline
Indicates that one entity is a specific esports game or discipline in which the other entity participates or is involved.
-
D.
competitiveDiscipline
chosen
Indicates a relationship where an entity participates in or is associated with a structured, rule-based activity or field in which individuals or groups compete against each other.
-
E.
raceDayIncludes
Indicates that a particular race day schedule or event set contains or encompasses a specific race or racing-related activity.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc086e6688190b90ae356e18b953e |
completed | March 8, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.