Triple
T3523377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bet365 Gold Cup |
E74478
|
entity |
| Predicate | raceStatus |
P49215
|
FINISHED |
| Object | Premier Handicap |
—
|
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: Premier Handicap | Statement: [Bet365 Gold Cup, raceStatus, Premier Handicap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceStatus Context triple: [Bet365 Gold Cup, raceStatus, Premier Handicap]
-
A.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
-
B.
competitionStatus
Indicates the current state or phase of a competition, such as whether it is upcoming, ongoing, paused, or completed.
-
C.
raceStartType
Indicates the manner or format in which a race is initiated (e.g., type or method of starting the race).
-
D.
positionOnRace
Indicates the relative ranking or placement an entity holds within the context of a race or competitive event.
-
E.
trainingStatus
Indicates the current state or phase of an entity within a training or learning process.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4f16b8819094ad2755670ddc7b |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:19 p.m.