Triple

T22438651
Position Surface form Disambiguated ID Type / Status
Subject Leesylvania, Prince William County, Virginia E554694 entity
Predicate transportRelation P43050 FINISHED
Object near U.S. Route 1 LITERAL FINISHED

How this triple was built (2 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: near U.S. Route 1 | Statement: [Leesylvania, Prince William County, Virginia, transportRelation, near U.S. Route 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportRelation
Context triple: [Leesylvania, Prince William County, Virginia, transportRelation, near U.S. Route 1]
  • A. publicTransportAuthorityRelation
    Indicates that one entity serves as the public transport authority responsible for overseeing, regulating, or managing public transportation services related to another entity.
  • B. relationToMetrotram
    Indicates a spatial or functional relationship between something and a metro or tram system, such as proximity, connection, or relevance to it.
  • C. transportCorridor
    Indicates a route or pathway used to move people, goods, or resources between locations.
  • D. hasTransportationRelation chosen
    Indicates a relationship in which one entity provides, uses, is connected by, or is otherwise associated with a means or mode of transportation to another entity or location.
  • E. transportDependency
    Indicates that one entity’s ability to be transported or to function in transport depends on another entity or transport resource.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae01bd08190aee5141f4c0848bc completed April 29, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69e898a327948190beee5e168006a0a7 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:47 p.m.