Triple

T10755861
Position Surface form Disambiguated ID Type / Status
Subject KLGC E253691 entity
Predicate subjectAirportLocationCountry 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: [KLGC, subjectAirportLocationCountry, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States
Context triple: [KLGC, subjectAirportLocationCountry, 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: subjectAirportLocationCountry
Context triple: [KLGC, subjectAirportLocationCountry, United States]
  • A. airportLocationCountry chosen
    Indicates that an airport is geographically situated within a specific country.
  • B. associatedAirportCountrySubdivision
    Indicates the specific country subdivision (such as a state, province, or region) in which the associated airport is located.
  • C. parentAirport
    Indicates that one airport serves as the primary or overarching facility from which another, subsidiary or associated airport is derived or managed.
  • D. airportLocationRelation
    Indicates a spatial or administrative relationship specifying where an airport is located relative to a geographic area or jurisdiction.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d72e9e224c819099d16aba77322812 completed April 9, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6878a54819080050011e718c4e8 completed April 18, 2026, 12:55 a.m.
PD Predicate disambiguation batch_69d6f311529c819080ca5493d55d6050 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:15 p.m.