Triple

T581093
Position Surface form Disambiguated ID Type / Status
Subject Paris airport system E15058 entity
Predicate mainHubFor P2958 FINISHED
Object Air France E16857 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: Air France | Statement: [Paris airport system, mainHubFor, Air France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air France
Context triple: [Paris airport system, mainHubFor, Air France]
  • A. Air France chosen
    Air France is the French flag carrier airline and one of Europe’s major international airlines, operating a global network of passenger and cargo services.
  • B. Air France-KLM
    Air France-KLM is a major Franco-Dutch airline holding company and one of Europe’s largest airline groups, operating extensive global passenger and cargo networks.
  • C. Transavia France
    Transavia France is a French low-cost airline and subsidiary of the Air France-KLM group, operating primarily short- and medium-haul leisure routes across Europe and the Mediterranean.
  • D. Lufthansa
    Lufthansa is Germany’s largest airline and a major global carrier known for its extensive international network and role in shaping modern airline alliances.
  • E. 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.
  • 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: mainHubFor
Context triple: [Paris airport system, mainHubFor, Air France]
  • A. primaryHubFor chosen
    Indicates that one entity serves as the main central hub or core point of coordination for another entity or set of entities.
  • B. hubFor
    Indicates that one entity serves as a central node or focal point through which activities, connections, or resources related to another entity are organized or routed.
  • C. secondaryHub
    Indicates that an entity functions as a secondary or backup hub in relation to a primary hub within a network or system.
  • D. mainBase
    Indicates that one entity serves as the primary or central base or headquarters for another entity.
  • E. mainMediator
    Indicates that an entity serves as the primary intermediary or facilitator through which interaction, communication, or influence between other entities is conducted.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b84899881909d5b2b4e67e22d9b completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c44ef0819088048289ed31246f completed March 2, 2026, 4:57 a.m.
PD Predicate disambiguation batch_69a494c7f9008190bd8d05b4dc2a7c7f completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.