Triple
T19051374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graton Resort & Casino |
E466265
|
entity |
| Predicate | gamingType |
P10208
|
FINISHED |
| Object | slot machines |
—
|
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: slot machines | Statement: [Graton Resort & Casino, gamingType, slot machines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gamingType Context triple: [Graton Resort & Casino, gamingType, slot machines]
-
A.
primaryGameType
Indicates the main category or type of game with which an entity is primarily associated.
-
B.
notableGameType
Indicates that a game is of a particular type or category for which the subject is especially well known or notable.
-
C.
includesGameType
chosen
Indicates that one entity contains or supports a particular type or category of game.
-
D.
ballGameType
Indicates the specific kind or category of ball game associated with an event or activity.
-
E.
gamingSpace
Indicates a relationship where a space, area, or environment is designated or used specifically for gaming activities.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc02597c8190b39fd2c7b7e42258 |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.