Triple
T10190326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casino Rama Resort |
E238014
|
entity |
| Predicate | hasOnSiteAccommodation |
P84196
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Casino Rama Resort, hasOnSiteAccommodation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnSiteAccommodation Context triple: [Casino Rama Resort, hasOnSiteAccommodation, yes]
-
A.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
B.
hasHotelsOnSite
chosen
Indicates that the subject location includes one or more hotels situated directly on its premises.
-
C.
sleepingAccommodation
Indicates that one entity serves as a place or facility where another entity can sleep or stay overnight.
-
D.
hasCampingOption
Indicates that an entity offers or includes the possibility to camp (e.g., designated camping facilities or areas).
-
E.
hasGuestHouse
Indicates that one entity owns, includes, or is associated with a guest house in relation to another entity.
- 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_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. |
Created at: March 30, 2026, 9:13 p.m.