Triple

T9480302
Position Surface form Disambiguated ID Type / Status
Subject Kagan E228617 entity
Predicate hasTypicalGeographicUsage P15483 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: [Kagan, hasTypicalGeographicUsage, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States
Context triple: [Kagan, hasTypicalGeographicUsage, 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 public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
  • C. USA
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • D. Usan
    Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
  • E. EUA
    EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
  • 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: hasTypicalGeographicUsage
Context triple: [Kagan, hasTypicalGeographicUsage, United States]
  • A. hasTypicalUsageRegion chosen
    Indicates that something is most commonly or characteristically used within a particular geographic region.
  • B. usedInCountryOrRegion
    Indicates that something (such as an item, concept, or practice) is utilized or applied within a specified country or region.
  • C. usedInRegion
    Indicates that something is utilized or applied within a specific geographic or administrative region.
  • D. usedForCountry
    Indicates that something is used for, or serves a purpose related to, a specific country.
  • E. geographicAreaOfSupport
    Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8016813881908dafc026779c89c4 completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190c570f08190ae8db5c82ed34b00 completed April 4, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69cca561e6b0819090aa795f3c3a2083 completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:54 p.m.