Triple

T9028742
Position Surface form Disambiguated ID Type / Status
Subject Greivis Vásquez E216112 entity
Predicate collegeCareerLocation P34657 FINISHED
Object College Park, Maryland E15826 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: College Park, Maryland | Statement: [Greivis Vásquez, collegeCareerLocation, College Park, Maryland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: College Park, Maryland
Context triple: [Greivis Vásquez, collegeCareerLocation, College Park, Maryland]
  • A. College Park, Maryland chosen
    College Park, Maryland is a city in the Washington, D.C. metropolitan area best known as the home of the University of Maryland’s flagship campus and several major scientific and research institutions.
  • B. University Park, Maryland
    University Park, Maryland is a small, primarily residential town in Prince George’s County known for its tree-lined streets, historic homes, and proximity to the University of Maryland and Washington, D.C.
  • C. College Park
    College Park is the historic main cricket and sports ground located within the campus of Trinity College Dublin in Ireland.
  • D. Germantown, Maryland
    Germantown, Maryland is a major suburban community in the Washington, D.C. metropolitan area known for its rapid growth, diverse population, and extensive residential and commercial development.
  • E. North Bethesda, Maryland
    North Bethesda, Maryland is a suburban community in Montgomery County just northwest of Washington, D.C., known for its mixed residential and commercial areas and proximity to major federal agencies.
  • 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: collegeCareerLocation
Context triple: [Greivis Vásquez, collegeCareerLocation, College Park, Maryland]
  • A. studCareerLocation
    Indicates the place where a student's academic or professional career activities occur or are based.
  • B. countryForCollegeCareer chosen
    Indicates the country in which a person pursued or developed their college-level education or athletic career.
  • C. recruitmentLocation
    Indicates the place or geographic area where the recruitment or hiring of individuals occurs.
  • D. collegeCareerStart
    Indicates the time or event at which an individual begins their college-level academic career.
  • E. studCareerStart
    Indicates the point in time when a student's professional or academic career begins.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9bcb508190b58751f1772407d4 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffda9697c81908a1a9e447519ce05 completed April 3, 2026, 5:49 p.m.
PD Predicate disambiguation batch_69cc5ee132f08190940749c7c522e4c1 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:08 p.m.