Triple
T4509584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coronation Cup |
E102015
|
entity |
| Predicate | typicalRaceDateRelation |
P19146
|
FINISHED |
| Object | run on the same card as the Epsom Oaks |
—
|
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: run on the same card as the Epsom Oaks | Statement: [Coronation Cup, typicalRaceDateRelation, run on the same card as the Epsom Oaks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRaceDateRelation Context triple: [Coronation Cup, typicalRaceDateRelation, run on the same card as the Epsom Oaks]
-
A.
raceDayIncludes
chosen
Indicates that a particular race day schedule or event set contains or encompasses a specific race or racing-related activity.
-
B.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
-
C.
racingPeriod
Indicates the time span during which a racing event or competition takes place.
-
D.
timingOfRace
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
-
E.
raceTypeDetail
Indicates the specific category or classification of a race, providing detailed information about the type of race involved in the relationship.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd571138b88190b68bbfc4300aaf9d |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:01 p.m.