Triple

T20139534
Position Surface form Disambiguated ID Type / Status
Subject Le Rêve water effects at Wynn Las Vegas E491122 entity
Predicate locatedIn P40 FINISHED
Object Las Vegas 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: Las Vegas | Statement: [Le Rêve water effects at Wynn Las Vegas, locatedIn, Las Vegas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Vegas
Context triple: [Le Rêve water effects at Wynn Las Vegas, locatedIn, 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. Vegas
    Vegas is an American television crime drama series set in 1960s Las Vegas, starring Michael Chiklis alongside Dennis Quaid.
  • C. Vegas
    Vegas is a Swedish video lottery terminal brand operated by the state-owned gambling company Svenska Spel, commonly found in bars, restaurants, and gaming venues across Sweden.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.