Triple

T98732
Position Surface form Disambiguated ID Type / Status
Subject Ryan NYP monoplane E1991 entity
Predicate arrivalAirport P1522 FINISHED
Object Le Bourget Field, Paris 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 Field, Paris | Statement: [Ryan NYP monoplane, arrivalAirport, Le Bourget Field, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Bourget Field, Paris
Context triple: [Ryan NYP monoplane, arrivalAirport, Le Bourget Field, Paris]
  • 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. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • 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: arrivalAirport
Context triple: [Ryan NYP monoplane, arrivalAirport, Le Bourget Field, Paris]
  • A. placeOfDeparture
    Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
  • B. airportLocatedIn
    Indicates that an airport is geographically situated within a specific administrative or territorial area.
  • C. placeOfArrival chosen
    Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
  • 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_69a26c1cdad88190aae17fcf5554a674 completed Feb. 28, 2026, 4:16 a.m.
PD Predicate disambiguation batch_69a24ebe7b1c8190a6bfbf31dc7c7f07 completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.