Triple
T3544192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tingle Creek Chase |
E74955
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Betfair |
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 | Statement: [Tingle Creek Chase, sponsor, Betfair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betfair Context triple: [Tingle Creek Chase, sponsor, Betfair]
-
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.
Bet365
Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
-
D.
SeatGeek
SeatGeek is a mobile-focused ticketing platform and marketplace for live sports, concerts, and entertainment events.
-
E.
Bets
Bets is a young girl who serves as one of the child detectives in Enid Blyton’s “The Mystery Series,” contributing curiosity and insight to the group’s investigations.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf76c5b08190b898d31b80a3a350 |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bdfe5748190b2de831635221ce1 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.