Triple

T788545
Position Surface form Disambiguated ID Type / Status
Subject Air France E16857 entity
Predicate sharesFrequentFlyerProgramWith P13481 FINISHED
Object KLM E31984 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: KLM | Statement: [Air France, sharesFrequentFlyerProgramWith, KLM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KLM
Context triple: [Air France, sharesFrequentFlyerProgramWith, KLM]
  • A. KLM chosen
    KLM is the flag carrier airline of the Netherlands and one of the world's oldest airlines still operating under its original name.
  • B. KLM Cityhopper
    KLM Cityhopper is a Dutch regional airline and subsidiary of KLM that operates short-haul flights across Europe, primarily feeding traffic into KLM’s main network.
  • C. Transavia
    Transavia is a Dutch low-cost airline operating scheduled and charter flights across Europe and North Africa.
  • D. Brussels Airlines
    Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
  • E. Martinair
    Martinair is a Dutch airline based in the Netherlands that operates both cargo and charter passenger services, historically linked to KLM.
  • 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: sharesFrequentFlyerProgramWith
Context triple: [Air France, sharesFrequentFlyerProgramWith, KLM]
  • A. associatedWithFrequentFlyerProgram chosen
    Indicates that an entity has a connection or involvement with a frequent flyer program, such as membership, participation, or affiliation.
  • B. airlineAllianceMembership
    Indicates that an airline is a member of a specific airline alliance.
  • C. servesAirlineAlliance
    Indicates that an airline operates flights on behalf of, or under the branding of, a specific airline alliance.
  • D. associatedWithIATAAirlineCode
    Indicates that an entity is linked to or identified by a specific IATA airline code.
  • E. hasCodeShareOrInterline
    Indicates that there exists a codeshare or interline agreement relationship between the referenced transportation services or carriers.
  • F. None of above.

Provenance (4 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a782fe988190966b958673fe12bf completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79286e8b88190887def813bc65d95 completed March 4, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69a4a50ef72c819084ffe9f31dbd0262 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:38 p.m.