Triple

T19737526
Position Surface form Disambiguated ID Type / Status
Subject Leningradskaya Hotel E474025 entity
Predicate operator P179 FINISHED
Object Hilton Hotels & Resorts 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: Hilton Hotels & Resorts | Statement: [Leningradskaya Hotel, operator, Hilton Hotels & Resorts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hilton Hotels & Resorts
Context triple: [Leningradskaya Hotel, operator, 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 chosen
    Hilton is a global hospitality company that operates a worldwide portfolio of hotels and resorts across multiple brands.
  • E. Hilton
    Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515ea688819097b6838e6a3b3d4a completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.