Triple

T7870175
Position Surface form Disambiguated ID Type / Status
Subject The Plaza E182717 entity
Predicate ownedBy P347 FINISHED
Object Katara Hospitality E151651 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: Katara Hospitality | Statement: [The Plaza, ownedBy, Katara Hospitality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katara Hospitality
Context triple: [The Plaza, ownedBy, Katara Hospitality]
  • A. Katara Hospitality chosen
    Katara Hospitality is a Qatar-based global hotel owner, developer, and operator known for its portfolio of luxury and iconic properties around the world.
  • B. Homa Hotel Group
    Homa Hotel Group is an Iranian state-affiliated hotel chain operating a network of major hotels across key cities in Iran.
  • C. Fattal Hotel Group
    Fattal Hotel Group is an international hospitality company that operates and manages a large portfolio of hotels across Europe and Israel under multiple brands.
  • D. Alila Hotels and Resorts
    Alila Hotels and Resorts is a luxury boutique hotel and resort brand known for its design-led properties, immersive local experiences, and strong focus on sustainability and wellness.
  • E. HKS Hospitality
    HKS Hospitality is a specialized division of the global architecture firm HKS, Inc. focused on designing hotels, resorts, and other hospitality-related environments.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb384a285881908a5b2de278f9556f completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b6bc7248190adbf4377c52e16a9 completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:55 p.m.