Triple
T22067238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rush Street Interactive |
E545304
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | BetRivers |
—
|
NE NERFINISHED |
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: BetRivers | Statement: [Rush Street Interactive, brand, BetRivers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BetRivers Context triple: [Rush Street Interactive, brand, BetRivers]
-
A.
BetRivers
chosen
BetRivers is an online sports betting and casino brand operated by Rush Street Interactive and linked to the Rivers Casino properties in the United States.
-
B.
Betfred
Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
-
C.
TwinSpires
TwinSpires is an online wagering platform best known for offering legal horse race betting and related gaming services in the United States.
-
D.
Betfair
Betfair is a major online gambling company and betting exchange based in the United Kingdom.
-
E.
Unibet
Unibet is an international online gambling company offering sports betting, casino games, poker, and other gaming services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12884937c819095d3af69123fa2cb |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:27 p.m.