Triple

T6724056
Position Surface form Disambiguated ID Type / Status
Subject VLG E153467 entity
Predicate airlineHeadquartersMetroArea P12357 FINISHED
Object Barcelona E9407 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: Barcelona | Statement: [VLG, airlineHeadquartersMetroArea, Barcelona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barcelona
Context triple: [VLG, airlineHeadquartersMetroArea, Barcelona]
  • A. Barcelona chosen
    Barcelona is a major Spanish Mediterranean city renowned for its distinctive Catalan culture, Gaudí architecture, and vibrant arts and nightlife scenes.
  • B. Barcelonès
    Barcelonès is a highly urbanized comarca in Catalonia that includes the city of Barcelona and serves as one of the most densely populated areas in Spain.
  • C. Madrid
    Madrid is the capital and largest city of Spain, renowned for its rich cultural heritage, historic architecture, and vibrant arts and nightlife scenes.
  • D. Madrid
    Madrid is a municipality in the Cundinamarca department of Colombia, located near Bogotá and known for its floriculture and agricultural production.
  • E. Madri
    Madri is a princess from the Mahabharata epic, known as the second wife of King Pandu and the mother of the twins Nakula and Sahadeva.
  • 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: airlineHeadquartersMetroArea
Context triple: [VLG, airlineHeadquartersMetroArea, Barcelona]
  • A. associatedAirlineHeadquarters
    Indicates that an airline is connected to or based at a particular headquarters location.
  • B. linkedAirlineHeadquartersLocation chosen
    Indicates that an airline’s headquarters is located in the specified place or facility.
  • C. airportServesAs
    Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
  • D. airportLinkName
    Indicates the name assigned to a transportation link or connection associated with an airport.
  • E. airlineHub
    Indicates that a particular location (typically an airport or city) serves as a central hub or primary operational base for an airline.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d354177481908ab3cf5437c095e2 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70aea6d608190a6e58f46f69a574a completed March 27, 2026, 10:55 p.m.
PD Predicate disambiguation batch_69c6d08e8a2c8190ae4e8d8c039be7ce completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:08 p.m.