Triple
T10190327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casino Rama Resort |
E238014
|
entity |
| Predicate | hasIndoorSmokingAreas |
P92613
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Casino Rama Resort, hasIndoorSmokingAreas, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndoorSmokingAreas Context triple: [Casino Rama Resort, hasIndoorSmokingAreas, no]
-
A.
isNonSmoking
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.
hasIndoorArea
Indicates that an entity possesses or includes an area or space that is located indoors or within a building.
-
D.
canBeSmoked
Indicates that something is suitable or able to be consumed by smoking.
-
E.
hasPublicSpaces
Indicates that an entity includes or provides areas that are accessible and usable by the general public.
- F. None of above. chosen
Provenance (4 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7d6fdc81908052866495b6574f |
completed | April 2, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:13 p.m.