Triple
T5824764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borgata Hotel Casino & Spa |
E129194
|
entity |
| Predicate | hasCasinoGames |
P20883
|
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: [Borgata Hotel Casino & Spa, hasCasinoGames, slot machines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCasinoGames Context triple: [Borgata Hotel Casino & Spa, hasCasinoGames, slot machines]
-
A.
hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
B.
hasSpecialGames
Indicates that an entity is associated with particular games that are distinguished from its regular or standard games in some special way.
-
C.
hasGamesAt
chosen
Indicates that a particular location, venue, or platform hosts or offers one or more games.
-
D.
hasArcades
Indicates that one entity features or contains arcaded structures (a series of arches or covered passageways) associated with another entity.
-
E.
hasGameType
Indicates that an entity (such as a game or match) is associated with a specific category or type 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.