Triple

T2553496
Position Surface form Disambiguated ID Type / Status
Subject EXPE E56679 entity
Predicate associatedBrand P1500 FINISHED
Object Hotels.com E7140 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: Hotels.com | Statement: [EXPE, associatedBrand, Hotels.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotels.com
Context triple: [EXPE, associatedBrand, Hotels.com]
  • A. Wotif Group
    Wotif Group is an online travel company best known for its hotel and accommodation booking platforms, particularly in the Australian and Asia-Pacific markets.
  • B. Expedia Group chosen
    Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
  • C. Hyatt Hotels Corporation
    Hyatt Hotels Corporation is a global hospitality company that owns, manages, and franchises a portfolio of upscale and luxury hotels, resorts, and vacation properties under multiple brand names.
  • D. 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.
  • E. Marriott International
    Marriott International is a global hospitality company that owns, manages, and franchises a wide portfolio of hotel and lodging brands worldwide.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30bc6388190b78f2f931eb54041 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d17ecd0819097c6b95307cc7557 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.