Triple

T16520449
Position Surface form Disambiguated ID Type / Status
Subject Hilton Osaka E401303 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 Osaka, brand, Hilton Hotels & Resorts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hilton Hotels & Resorts
Context triple: [Hilton Osaka, 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 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 (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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7f8a1481909fe6b3c16a72059b completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006088fe4881909e5b691743157700 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.