Triple
T22941759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish Grand National |
E569748
|
entity |
| Predicate | bettingEvent |
P149994
|
FINISHED |
| Object | major betting race in the UK |
—
|
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: major betting race in the UK | Statement: [Scottish Grand National, bettingEvent, major betting race in the UK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bettingEvent Context triple: [Scottish Grand National, bettingEvent, major betting race in the UK]
-
A.
bettingOdds
Indicates the likelihood or probability of a particular outcome in a bet, typically expressed as numerical odds set for wagering.
-
B.
betting
Indicates engaging in a wager where one party risks something of value on the outcome of an uncertain event involving another entity.
-
C.
gamblingMarket
chosen
Indicates a relationship where an entity participates in or is associated with a market for placing bets or wagers on uncertain outcomes.
-
D.
sportEvent
Indicates a relationship where an entity is involved in, associated with, or characterizes a competitive or organized sporting event.
-
E.
sportingEventScope
Indicates the scope or context within which a sporting event takes place, such as its level, category, or coverage.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181394fec81909da791bb346dbd0a |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:45 p.m.