Triple

T22721689
Position Surface form Disambiguated ID Type / Status
Subject USNYC E561877 entity
Predicate codePartCountry P48314 FINISHED
Object US NE NERFINISHED

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: US | Statement: [USNYC, codePartCountry, US]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US
Context triple: [USNYC, codePartCountry, US]
  • A. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • B. US chosen
    The US, or United States, is a federal republic in North America comprising 50 states and known as one of the world's largest economic and military powers.
  • C. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as one of the world's most influential economic and political powers.
  • D. US
    The US, or United States of America, is a large federal republic in North America composed of 50 states and known as one of the world's leading economic and military powers.
  • E. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • 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: codePartCountry
Context triple: [USNYC, codePartCountry, US]
  • A. countryCodePart chosen
    Indicates that one entity is a segment or component of a standardized country code associated with another entity.
  • B. includesCountryPart
    Indicates that one country or territorial entity contains, encompasses, or has within its boundaries a specific part or subdivision of a country.
  • C. countryPortionIn
    Indicates that a specific part or region is located within the boundaries of a particular country.
  • D. hasPartInCountry
    Indicates that an entity has a component, section, or portion that is located within a specified country.
  • E. continentCode
    Indicates the standardized code assigned to the continent with which an entity is associated.
  • F. None of above.

Provenance (3 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17911a4fc81908a125209aea77e22 completed April 29, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69eed2a971c0819088af574e40c9343f completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:19 p.m.