Triple
T25307871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Spot |
E634529
|
entity |
| Predicate | hasResponsibleGamblingInformation |
P180687
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hot Spot, hasResponsibleGamblingInformation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResponsibleGamblingInformation Context triple: [Hot Spot, hasResponsibleGamblingInformation, yes]
-
A.
hasResponsibleGamingMessage
chosen
Indicates that an entity includes or is associated with a message promoting responsible or safe participation in gaming or gambling activities.
-
B.
hasResponsibleGamblingProgram
Indicates that an entity has implemented and maintains a program or measures aimed at promoting responsible gambling practices.
-
C.
hasResponsibleGamblingPartnership
Indicates that an entity maintains a formal partnership or collaboration focused on promoting or supporting responsible gambling practices.
-
D.
wageringAvailable
Indicates that it is possible to place bets or wagers on the associated event or entity.
-
E.
hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 21, 2026, 1:25 p.m.