Triple
T21612926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park MGM |
E533355
|
entity |
| Predicate | smokeFreePolicy |
P17282
|
FINISHED |
| Object | entire resort and casino are non-smoking |
—
|
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: entire resort and casino are non-smoking | Statement: [Park MGM, smokeFreePolicy, entire resort and casino are non-smoking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smokeFreePolicy Context triple: [Park MGM, smokeFreePolicy, entire resort and casino are non-smoking]
-
A.
isNonSmoking
chosen
Indicates that the subject is designated or required to be free from smoking or tobacco use.
-
B.
outdoorSmokingPolicy
Indicates the rules or restrictions governing smoking in outdoor areas associated with a place or organization.
-
C.
smokeLevel
Indicates the intensity or concentration of smoke present in or produced by an entity or environment.
-
D.
isSmokeless
Indicates that something does not produce smoke or is free from smoking-related emissions or activity.
-
E.
canBeSmoked
Indicates that something is suitable or able to be consumed by smoking.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba8d7cc8190a59706896a4c073a |
completed | April 27, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.