Triple

T1804591
Position Surface form Disambiguated ID Type / Status
Subject Virgin Group E39791 entity
Predicate subsidiary P258 FINISHED
Object Virgin Hotels E202740 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: Virgin Hotels | Statement: [Virgin Group, subsidiary, Virgin Hotels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virgin Hotels
Context triple: [Virgin Group, subsidiary, Virgin Hotels]
  • A. Virgin Hotels chosen
    Virgin Hotels is a lifestyle-focused hotel chain known for its modern design, tech-friendly amenities, and guest-centric service, operating in major cities across the United States and beyond.
  • B. Wynn Las Vegas
    Wynn Las Vegas is a luxury resort and casino on the Las Vegas Strip known for its upscale accommodations, fine dining, and high-end entertainment and shopping.
  • C. Wynn Resorts
    Wynn Resorts is a luxury hotel and casino development company known for its high-end integrated resorts in Las Vegas and Macau.
  • D. Harrah's Las Vegas
    Harrah's Las Vegas is a casino hotel and entertainment resort located on the Las Vegas Strip, known for its lively atmosphere, gaming, and shows.
  • E. Wynn Palace
    Wynn Palace is a luxury integrated resort and casino on the Cotai Strip in Macau, known for its opulent design, high-end amenities, and entertainment offerings.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa659648e8819085fafb60dc03f14b completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf58cf648190a5a71adc82cfb618 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.