Triple
T22317800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emerald Queen Casino |
E551694
|
entity |
| Predicate | hasGamingCategory |
P10208
|
FINISHED |
| Object | Class III gaming |
—
|
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: Class III gaming | Statement: [Emerald Queen Casino, hasGamingCategory, Class III gaming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGamingCategory Context triple: [Emerald Queen Casino, hasGamingCategory, Class III gaming]
-
A.
hasVideoGames
Indicates that one entity possesses, owns, or includes video games in relation to another entity or context.
-
B.
hasInGameCategory
Indicates that an in-game item, action, or entity belongs to a specific predefined category within the game’s classification system.
-
C.
hasGamesAt
Indicates that a particular location, venue, or platform hosts or offers one or more games.
-
D.
includesGameType
chosen
Indicates that one entity contains or supports a particular type or category of game.
-
E.
playsCategory
Indicates that an entity engages in or performs activities belonging to a specified category.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157543d688190a151fade71880131 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.