Triple

T21552052
Position Surface form Disambiguated ID Type / Status
Subject Virginia Tech Hokies women's soccer E531786 entity
Predicate city P40 FINISHED
Object Blacksburg NE NERFINISHED

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: Blacksburg | Statement: [Virginia Tech Hokies women's soccer, city, Blacksburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blacksburg
Context triple: [Virginia Tech Hokies women's soccer, city, Blacksburg]
  • A. Blacksburg, Virginia, United States chosen
    Blacksburg, Virginia, United States is a college town in the Appalachian region best known as the home of Virginia Tech.
  • B. Harrisonburg, Virginia
    Harrisonburg, Virginia is an independent city in the Shenandoah Valley known for its universities, vibrant downtown, and role as a regional cultural and economic center.
  • C. Glen Allen
    Glen Allen is a suburban community in central Virginia, known as part of the Greater Richmond metropolitan area.
  • D. Radford, Virginia
    Radford, Virginia is an independent city in southwestern Virginia known for being home to Radford University and its location along the New River.
  • E. Gainesville, Virginia
    Gainesville, Virginia is a rapidly growing suburban community in Prince William County, northern Virginia, known for its residential developments, shopping centers, and proximity to major commuter routes into the Washington, D.C. metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb59375f481909d9e2b66d18c7c32 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:29 p.m.