Triple
T15260858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betfair |
E364768
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Betfair Sportsbook |
E364768
|
NE 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: Betfair Sportsbook | Statement: [Betfair, hasBrand, Betfair Sportsbook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betfair Sportsbook Context triple: [Betfair, hasBrand, Betfair Sportsbook]
-
A.
Betfair
chosen
Betfair is a major online gambling company and betting exchange based in the United Kingdom.
-
B.
Betfred
Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
-
C.
Matchbook betting exchange
Matchbook betting exchange is an online sports betting platform that operates as a peer-to-peer exchange, allowing users to back and lay bets at market-driven odds.
-
D.
Bet365
Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
-
E.
BetRivers
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef893e73c8190804c14fa1890ac8b |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:14 a.m.