Triple
T11692247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Vegas Convention and Visitors Authority |
E277896
|
entity |
| Predicate | regionMarketed |
P12320
|
FINISHED |
| Object | domestic United States |
—
|
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: domestic United States | Statement: [Las Vegas Convention and Visitors Authority, regionMarketed, domestic United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionMarketed Context triple: [Las Vegas Convention and Visitors Authority, regionMarketed, domestic United States]
-
A.
hasMarketingRegion
Indicates that an entity is associated with or assigned to a specific marketing region for targeting, management, or analysis purposes.
-
B.
marketRegion
chosen
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
-
C.
producedForMarket
Indicates that something has been created or manufactured with the intention of being sold or traded in a market.
-
D.
regionCountrySide
Indicates that a region is located in or associated with the countryside or rural area of a country.
-
E.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47a3ddc819098e208611148d15b |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.