Triple

T985439
Position Surface form Disambiguated ID Type / Status
Subject Bugsy E21267 entity
Predicate placeOfActivity P1527 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: [Bugsy, placeOfActivity, Las Vegas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Vegas
Context triple: [Bugsy, placeOfActivity, Las Vegas]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Henderson, Nevada
    Henderson, Nevada is a major suburban city in the Las Vegas metropolitan area known for its rapid growth, master-planned communities, and proximity to the Las Vegas Strip.
  • E. Las Vegas Valley
    Las Vegas Valley is a major metropolitan area in southern Nevada centered on the city of Las Vegas, known for its extensive urban sprawl, tourism, and entertainment industry in the Mojave Desert.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b496b7308190a9c201244330b784 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc605c85881909adc6091bb9d9f8c completed March 8, 2026, 12:42 a.m.
Created at: March 1, 2026, 7:41 p.m.