Triple

T98789
Position Surface form Disambiguated ID Type / Status
Subject Orteig Prize E1992 entity
Predicate winningArrivalAirport P1522 FINISHED
Object Le Bourget Airport E8716 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: Le Bourget Airport | Statement: [Orteig Prize, winningArrivalAirport, Le Bourget Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Bourget Airport
Context triple: [Orteig Prize, winningArrivalAirport, Le Bourget Airport]
  • A. Le Bourget Field chosen
    Le Bourget Field is a historic airfield near Paris, France, best known as the landing site of Charles Lindbergh’s pioneering solo nonstop transatlantic flight in 1927.
  • B. Charles de Gaulle Airport
    Charles de Gaulle Airport is the largest international airport in France and a major European aviation hub serving the Paris metropolitan area.
  • C. Geneva Airport
    Geneva Airport is a major international airport in western Switzerland serving the city of Geneva and the surrounding region, including access to the Alps and neighboring France.
  • D. Gare de Lyon
    Gare de Lyon is one of Paris’s major railway terminals, serving high-speed and regional trains to southeastern France and international destinations.
  • E. Tegel
    Tegel is a locality in the Reinickendorf borough of Berlin, Germany, historically known for its manor associated with the Humboldt family and later for the former Berlin Tegel Airport.
  • 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: winningArrivalAirport
Context triple: [Orteig Prize, winningArrivalAirport, Le Bourget Airport]
  • A. placeOfArrival chosen
    Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
  • B. airportLocatedIn
    Indicates that an airport is geographically situated within a specific administrative or territorial area.
  • C. placeOfDeparture
    Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
  • D. hasInternationalAirport
    Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
  • E. largestAirport
    Indicates that one airport is the largest (typically by area, traffic, or capacity) among a specified set or within a given region.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24ff07d148190a59aee12c807659d completed Feb. 28, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e4880c81908f39d69fbeb8f61a completed Feb. 28, 2026, 4:58 a.m.
PD Predicate disambiguation batch_69a24ebe7b1c8190a6bfbf31dc7c7f07 completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.