Triple

T2603816
Position Surface form Disambiguated ID Type / Status
Subject LS E58608 entity
Predicate assignedToAirline P41156 FINISHED
Object Jet2.com E8498 NE FINISHED

How this triple was built (3 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: Jet2.com | Statement: [LS, assignedToAirline, Jet2.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jet2.com
Context triple: [LS, assignedToAirline, Jet2.com]
  • A. Jet2.com chosen
    Jet2.com is a British low-cost leisure airline that operates scheduled and charter flights across Europe from multiple UK bases.
  • B. Jet2holidays
    Jet2holidays is a UK-based package holiday provider offering flights, accommodation, and transfers to popular leisure destinations, primarily served by its sister airline Jet2.com.
  • C. easyJet
    easyJet is a major British low-cost airline operating extensive domestic and European routes.
  • D. TUI Airways
    TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
  • E. Wizz Air
    Wizz Air is a Hungarian ultra-low-cost airline known for operating an extensive network of budget flights across Europe and surrounding regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: assignedToAirline
Context triple: [LS, assignedToAirline, Jet2.com]
  • A. servesAirline
    Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
  • B. associatedAirlineGroup
    Indicates a relationship where an airline is linked or belongs to a specific airline group or alliance.
  • C. airlineInvolved
    Indicates that a specific airline is directly associated with, or plays a role in, a particular event, situation, or context.
  • D. associatedWithIATAAirlineCode
    Indicates that an entity is linked to or identified by a specific IATA airline code.
  • E. airline
    Indicates that an entity operates as a commercial air transport carrier providing flight services between locations.
  • F. None of above. chosen

Provenance (5 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83d6daa4819087ee111e648ce71d completed March 10, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69abd80ab7248190ba06ba14fe4c5638 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd8dd05c48190b4f90031642c4091 completed March 7, 2026, 7:50 a.m.
Created at: March 6, 2026, 9:49 p.m.