Triple

T21657963
Position Surface form Disambiguated ID Type / Status
Subject MGM Springfield E534515 entity
Predicate hasHotelBrand P25109 FINISHED
Object MGM Hotels 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: MGM Hotels | Statement: [MGM Springfield, hasHotelBrand, MGM Hotels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MGM Hotels
Context triple: [MGM Springfield, hasHotelBrand, MGM Hotels]
  • A. MGM Resorts International chosen
    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.
  • B. MGM Holdings
    MGM Holdings is the parent company that owns and oversees Metro-Goldwyn-Mayer’s entertainment assets and operations.
  • C. MGM
    MGM is a major American entertainment and hospitality brand best known for its iconic casinos, resorts, and film studio legacy.
  • D. MGM
    MGM is the IATA airport code for Montgomery Regional Airport, the primary commercial airport serving Montgomery, Alabama.
  • E. MGM
    MGM is the three-letter FAA location identifier assigned to Harbor Springs Municipal Airport in Michigan.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c05a8d881909f747635bdb4ef09 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.