Triple

T10575644
Position Surface form Disambiguated ID Type / Status
Subject W Barcelona E249604 entity
Predicate brand P1500 FINISHED
Object W Hotels E242123 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: W Hotels | Statement: [W Barcelona, brand, W Hotels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: W Hotels
Context triple: [W Barcelona, brand, W Hotels]
  • A. W Hotels chosen
    W Hotels is a global luxury lifestyle hotel chain known for its stylish design, vibrant social scene, and contemporary, boutique-inspired accommodations.
  • B. U Hotels
    U Hotels is a hotel brand operated by the Fattal Hotel Group, offering contemporary accommodations and hospitality services.
  • C. AC Hotels
    AC Hotels is a design-focused, European-inspired hotel brand within the Marriott International portfolio, known for its minimalist style and urban, lifestyle-oriented properties.
  • D. Aloft Hotels
    Aloft Hotels is a contemporary, design-focused hotel brand known for its tech-forward amenities and vibrant social spaces, operated under the Marriott International portfolio.
  • E. Kimpton Hotels
    Kimpton Hotels is a boutique hotel chain known for its stylish, design-focused properties and personalized guest experiences, primarily operating in urban locations across the United States and beyond.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274b100c8190b477ef4cb745c269 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b5d89748190bb398943e4a16e9b completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:38 p.m.