Triple

T12916992
Position Surface form Disambiguated ID Type / Status
Subject Viktor Navorski E309010 entity
Predicate countryOfAirport P34624 FINISHED
Object United States E14 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: United States | Statement: [Viktor Navorski, countryOfAirport, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States
Context triple: [Viktor Navorski, countryOfAirport, United States]
  • A. United States of America chosen
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • B. Usa
    Usa is a city in Ōita Prefecture, Japan, known for the historic Usa Jingū Shinto shrine.
  • C. USA
    USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
  • D. USA
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • E. Usan
    Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
  • 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: countryOfAirport
Context triple: [Viktor Navorski, countryOfAirport, United States]
  • A. airportLocationCountry chosen
    Indicates that an airport is geographically situated within a specific country.
  • B. airportCountryCode
    Indicates the country code associated with the airport in question.
  • C. operatorMainHubAirportCountry
    Indicates that an operator’s primary hub airport is located in the specified country.
  • D. associatedAirportCountrySubdivision
    Indicates the specific country subdivision (such as a state, province, or region) in which the associated airport is located.
  • E. airportLocatedIn
    Indicates that an airport is geographically situated within a specific administrative or territorial area.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a1e8088190af697629baecf59f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c0510081909459662cb91a82b4 completed May 3, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69d96fa9b7708190a9e9fa30f59ff580 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:41 p.m.