Triple

T15793713
Position Surface form Disambiguated ID Type / Status
Subject Hilton Moscow Leningradskaya E382921 entity
Predicate brand P1500 FINISHED
Object Hilton Hotels & Resorts E1003741 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: Hilton Hotels & Resorts | Statement: [Hilton Moscow Leningradskaya, brand, Hilton Hotels & Resorts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hilton Hotels & Resorts
Context triple: [Hilton Moscow Leningradskaya, brand, Hilton Hotels & Resorts]
  • A. Hilton Hotels Corporation
    Hilton Hotels Corporation is a major American multinational hospitality company known for its global network of hotels and resorts across a wide range of market segments.
  • B. Marriott International
    Marriott International is a global hospitality company that owns, manages, and franchises a wide portfolio of hotel and lodging brands worldwide.
  • C. IHG Hotels & Resorts
    IHG Hotels & Resorts is a global hospitality company that owns, manages, and franchises a wide portfolio of hotel brands ranging from luxury to budget accommodations.
  • D. Hilton
    Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
  • E. Hilton chosen
    Hilton is a global hospitality company that operates a worldwide portfolio of hotels and resorts across multiple brands.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4db55308190875a04f982c44cea completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb038dac881909ede37fa7766a249 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:48 a.m.