Triple
T23283818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesars Sportsbook |
E588935
|
entity |
| Predicate | acceptsWagersOn |
P148249
|
FINISHED |
| Object | professional sports |
—
|
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: professional sports | Statement: [Caesars Sportsbook, acceptsWagersOn, professional sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptsWagersOn Context triple: [Caesars Sportsbook, acceptsWagersOn, professional sports]
-
A.
wageringAvailable
chosen
Indicates that it is possible to place bets or wagers on the associated event or entity.
-
B.
hasSportsbook
Indicates that an entity operates, offers, or is associated with a sportsbook service for placing sports bets.
-
C.
typeOfGamblingVenue
Indicates that one entity is a specific kind or category of gambling venue in relation to another entity.
-
D.
typeOfGambling
Indicates the specific category or form of gambling activity associated with an entity.
-
E.
gamblingMarket
Indicates a relationship where an entity participates in or is associated with a market for placing bets or wagers on uncertain outcomes.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196454b4c8190a797537ce8912241 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:58 p.m.