Triple
T9983316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Con Air |
E196505
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Las Vegas |
E36474
|
NE 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 | Statement: [Con Air, setIn, Las Vegas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Las Vegas Context triple: [Con Air, setIn, Las Vegas]
-
A.
Bas Vegas
Bas Vegas is a tongue-in-cheek nickname for the Essex town of Basildon, referencing its lively nightlife and entertainment venues in comparison to Las Vegas.
-
B.
Las Vegas, Nevada
chosen
Las Vegas, Nevada is a major resort city in the Mojave Desert known for its vibrant nightlife, casinos, entertainment, and luxury hotels.
-
C.
Reno
Reno is a city in northwestern Nevada known for its casinos, tourism, and proximity to outdoor recreation areas in the Sierra Nevada, including Lake Tahoe.
-
D.
Santiago de las Vegas
Santiago de las Vegas is a town in the municipality of Boyeros, Havana, Cuba, historically known as a suburban settlement of the capital.
-
E.
Sparks, Nevada
Sparks, Nevada is a city in Washoe County that forms part of the Reno–Sparks metropolitan area and is known for its casinos, special events, and proximity to Lake Tahoe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bdc0388190bbbd4bdc5ac3adec |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d281ebf6f88190a94ba8231422c591 |
completed | April 5, 2026, 3:38 p.m. |
Created at: March 30, 2026, 8:49 p.m.