Triple
T22450718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thanksgiving Handicap |
E554980
|
entity |
| Predicate | wageringAvailable |
P148249
|
FINISHED |
| Object | pari-mutuel betting |
—
|
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: pari-mutuel betting | Statement: [Thanksgiving Handicap, wageringAvailable, pari-mutuel betting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wageringAvailable Context triple: [Thanksgiving Handicap, wageringAvailable, pari-mutuel betting]
-
A.
hasSportsbook
Indicates that an entity operates, offers, or is associated with a sportsbook service for placing sports bets.
-
B.
hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
C.
hasBookmakers
Indicates that an entity is associated with or utilizes one or more bookmakers for betting or odds-setting activities.
-
D.
offersGame
Indicates that one entity provides or makes a game available to another entity.
-
E.
wagerAmount
Indicates the specific sum of money or value that is staked or risked in a bet or wager between parties.
- F. None of above. chosen
Provenance (4 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:48 p.m.