Triple

T15033246
Position Surface form Disambiguated ID Type / Status
Subject Dr. Gonzo E378408 entity
Predicate setting P1957 FINISHED
Object Las Vegas, Nevada 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, Nevada | Statement: [Dr. Gonzo, setting, Las Vegas, Nevada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Vegas, Nevada
Context triple: [Dr. Gonzo, setting, Las Vegas, Nevada]
  • 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. Vegas
    Vegas is an American television crime drama series set in 1960s Las Vegas, starring Michael Chiklis alongside Dennis Quaid.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e3a7c8819081f26c2435c1bcb2 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5aaeda08190846c15562e67c1fb completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:59 a.m.