Triple
T21570237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WorldWinner |
E532263
|
entity |
| Predicate | distinctionFromGambling |
P3450
|
FINISHED |
| Object | outcomes primarily determined by player skill |
—
|
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: outcomes primarily determined by player skill | Statement: [WorldWinner, distinctionFromGambling, outcomes primarily determined by player skill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctionFromGambling Context triple: [WorldWinner, distinctionFromGambling, outcomes primarily determined by player skill]
-
A.
typeOfGambling
Indicates the specific category or form of gambling activity associated with an entity.
-
B.
distinctionFromArena
Indicates a relationship where something is explicitly differentiated from, or not considered part of, a particular arena or domain.
-
C.
typeOfGamblingVenue
Indicates that one entity is a specific kind or category of gambling venue in relation to another entity.
-
D.
distinction
chosen
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
E.
associatedWithCasino
Indicates a relationship where an entity has a connection or involvement with a casino, such as through ownership, operation, affiliation, or regular activity.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cc5c448190887a836f577d01ba |
completed | April 27, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:30 p.m.