Triple

T292378
Position Surface form Disambiguated ID Type / Status
Subject Airbus E6021 entity
Predicate mainOperationalHeadquarters P62 FINISHED
Object Toulouse E16066 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: Toulouse | Statement: [Airbus, mainOperationalHeadquarters, Toulouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toulouse
Context triple: [Airbus, mainOperationalHeadquarters, Toulouse]
  • A. Toulouse chosen
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • B. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • C. Clermont-Ferrand
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • D. Nantes
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • E. Bordeaux
    Bordeaux is a renowned wine-producing region in southwestern France, famous for its prestigious red blends and long winemaking tradition.
  • 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: mainOperationalHeadquarters
Context triple: [Airbus, mainOperationalHeadquarters, Toulouse]
  • A. headquartersLocation chosen
    Indicates the place where an organization’s main administrative center or principal office is located.
  • B. headquartersMetroArea
    Indicates that an organization’s main headquarters is located within a specified metropolitan area.
  • C. headquartersCoordinates
    Indicates the geographic coordinates where an entity’s main headquarters is located.
  • D. chiefOfStaff
    Indicates that one entity serves as the chief of staff for another entity, typically managing operations and coordinating activities on its behalf.
  • E. secondaryHeadquartersLocation
    Indicates the location where an organization maintains a secondary (non-primary) headquarters.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea0dd1dc8190aecd5afdeb2fd74b completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c6698344819084b55d4a50408e5d completed March 1, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69a2e934b4408190b53a17f57a02df65 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.