Triple

T6370458
Position Surface form Disambiguated ID Type / Status
Subject Wynn Macau E143331 entity
Predicate operator P179 FINISHED
Object Wynn Resorts E26370 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: Wynn Resorts | Statement: [Wynn Macau, operator, Wynn Resorts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wynn Resorts
Context triple: [Wynn Macau, operator, Wynn Resorts]
  • A. Wynn Resorts chosen
    Wynn Resorts is a luxury hotel and casino development company known for its high-end integrated resorts in Las Vegas and Macau.
  • B. Las Vegas Sands
    Las Vegas Sands is a major global casino and resort company known for its large-scale integrated resorts in Las Vegas and Asia.
  • C. MGM Resorts International
    MGM Resorts International is a major global hospitality and entertainment company known for operating numerous high-profile casino resorts and hotels, particularly on the Las Vegas Strip.
  • D. 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.
  • E. Caesars Entertainment
    Caesars Entertainment is a major American gaming and hospitality company that owns and operates numerous casinos, hotels, and resorts across the United States and internationally.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068277f6c81908e6a55e006f0c229 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64badc3c481908199bf32069cc1c7 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:33 p.m.