Triple

T20174763
Position Surface form Disambiguated ID Type / Status
Subject Las Vegas City Hall E492060 entity
Predicate governs P760 FINISHED
Object City of 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: City of Las Vegas | Statement: [Las Vegas City Hall, governs, City of Las Vegas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Las Vegas
Context triple: [Las Vegas City Hall, governs, City of 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. 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.
  • C. Vegas
    Vegas is an American television crime drama series set in 1960s Las Vegas, starring Michael Chiklis alongside Dennis Quaid.
  • D. 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.
  • E. Downtown Las Vegas
    Downtown Las Vegas is the historic urban core of Las Vegas, known for its Fremont Street casinos, neon lights, entertainment venues, and revitalized arts and cultural districts.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668eaa3b88190bef4f2db0125fdfc completed April 20, 2026, 5:56 p.m.
Created at: April 11, 2026, 11:36 p.m.