Triple

T12888591
Position Surface form Disambiguated ID Type / Status
Subject Travelocity E308297 entity
Predicate foundedBy P104 FINISHED
Object Sabre Corporation E184467 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: Sabre Corporation | Statement: [Travelocity, foundedBy, Sabre Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabre Corporation
Context triple: [Travelocity, foundedBy, Sabre Corporation]
  • A. Sabre Holdings
    Sabre Holdings is a major travel technology and global distribution systems company that provides software and services to airlines, hotels, and travel agencies worldwide.
  • B. Priceline
    Priceline is a major online travel agency known for offering discounted rates on flights, hotels, rental cars, and vacation packages.
  • C. Travelport
    Travelport is a global travel technology company that provides distribution, payment, and retailing solutions connecting travel agencies, airlines, hotels, and other travel suppliers.
  • D. Sabre chosen
    Sabre is a leading global travel technology company that provides software and distribution solutions for airlines, hotels, and travel agencies.
  • E. Expedia Group
    Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714581988190afc720ffd7797860 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5598ad08190bad57ccfb4e4e2b6 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:39 p.m.