Triple
T4380900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Carlo Casino |
E99125
|
entity |
| Predicate | genreOfGames |
P53697
|
FINISHED |
| Object | roulette |
—
|
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: roulette | Statement: [Monte Carlo Casino, genreOfGames, roulette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfGames Context triple: [Monte Carlo Casino, genreOfGames, roulette]
-
A.
gameGenreContext
chosen
Indicates the genre or type of game associated with a given game entity or gaming context.
-
B.
notableGameType
Indicates that a game is of a particular type or category for which the subject is especially well known or notable.
-
C.
homeGamesOf
Indicates that the subject is a home game (or set of home games) played by the specified team or entity.
-
D.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
E.
includesGameType
Indicates that one entity contains or supports a particular type or category of game.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35243036481909fb0a001c3cb1ff2 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.