Triple
T24252826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cromwell Las Vegas |
E603578
|
entity |
| Predicate | hasBeachclub |
P132241
|
FINISHED |
| Object | Drai’s Beachclub |
—
|
NE NERFINISHED |
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: Drai’s Beachclub | Statement: [The Cromwell Las Vegas, hasBeachclub, Drai’s Beachclub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeachclub Context triple: [The Cromwell Las Vegas, hasBeachclub, Drai’s Beachclub]
-
A.
hasBeachClub
chosen
Indicates that one entity operates, owns, or is associated with a beach club facility or service.
-
B.
hasBeachClubType
Indicates that an entity is associated with a beach club and specifies the particular type or category of that beach club.
-
C.
hasBeachCharacteristic
Indicates that something possesses a specific quality, feature, or attribute associated with a beach.
-
D.
hasBeachBars
Indicates that a place or area features bars or drinking establishments located on or directly adjacent to a beach.
-
E.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b8aff788190bb37fc8ab04bde00 |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:05 a.m.