Triple

T4843838
Position Surface form Disambiguated ID Type / Status
Subject Learning from Las Vegas E108241 entity
Predicate subject P450 FINISHED
Object Las Vegas Strip E49454 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 Strip | Statement: [Learning from Las Vegas, subject, Las Vegas Strip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Vegas Strip
Context triple: [Learning from Las Vegas, subject, Las Vegas Strip]
  • A. Las Vegas Strip chosen
    The Las Vegas Strip is a famous stretch of Las Vegas Boulevard known for its large casino resorts, luxury hotels, and vibrant entertainment venues.
  • B. 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.
  • C. Paris Las Vegas
    Paris Las Vegas is a French-themed hotel and casino on the Las Vegas Strip, known for its replica Eiffel Tower and Parisian-style architecture.
  • D. Las Vegas Convention Center Loop
    The Las Vegas Convention Center Loop is an underground transportation system in Las Vegas that uses Tesla vehicles in tunnels to shuttle passengers quickly around the convention center campus.
  • E. 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.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d0078388190a74a9ee38e1ade4b completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cd29c9c8190ab4ca5463ef99c15 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.