Triple

T17823477
Position Surface form Disambiguated ID Type / Status
Subject Wilson, Virginia E445047 entity
Predicate hasName P744 FINISHED
Object Wilson, Virginia 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: Wilson, Virginia | Statement: [Wilson, Virginia, hasName, Wilson, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilson, Virginia
Context triple: [Wilson, Virginia, hasName, Wilson, Virginia]
  • A. Wilson, Virginia chosen
    Wilson, Virginia is an unincorporated rural community located in Dinwiddie County in the Commonwealth of Virginia.
  • B. Victoria, Virginia
    Victoria, Virginia is a small incorporated town in south-central Virginia that serves as the administrative and commercial hub of Lunenburg County.
  • C. Warwick, Virginia
    Warwick, Virginia was a former independent city in southeastern Virginia that was absorbed into the neighboring city of Newport News in the mid-20th century.
  • D. Marshall, Virginia
    Marshall, Virginia is a small unincorporated community and historic village in Fauquier County known for its rural character and proximity to the Blue Ridge Mountains.
  • E. Waverly, Virginia
    Waverly, Virginia is a small town that serves as the primary population and commercial center of Sussex County in southeastern Virginia.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891282a081908d384d45bf444baf completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.