Triple
T2094012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Las Vegas |
E32736
|
entity |
| Predicate | economyLinkedTo |
P25108
|
FINISHED |
| Object | Las Vegas tourism economy |
—
|
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: Las Vegas tourism economy | Statement: [North Las Vegas, economyLinkedTo, Las Vegas tourism economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economyLinkedTo Context triple: [North Las Vegas, economyLinkedTo, Las Vegas tourism economy]
-
A.
economyIncludes
Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
-
B.
economicLink
chosen
Indicates a relationship where entities are connected through economic interactions, dependencies, or exchanges such as trade, investment, or financial flows.
-
C.
economicSectorSourceOfWealth
Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
-
D.
economicFunction
Indicates the role or purpose an entity serves within an economic system, such as how it contributes to production, distribution, or consumption of goods and services.
-
E.
economicTrend
Indicates the general direction or pattern of economic activity or conditions over a period of time.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba98c32081908a243bc7088a1510 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.