Triple

T1231682
Position Surface form Disambiguated ID Type / Status
Subject Storey County E26455 entity
Predicate hasHistoricTown P847 FINISHED
Object Virginia City E139914 NE 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: Virginia City | Statement: [Storey County, hasHistoricTown, Virginia City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia City
Context triple: [Storey County, hasHistoricTown, Virginia City]
  • A. Virginia City chosen
    Virginia City is a historic Nevada mining town famous for the Comstock Lode silver strike and its well-preserved 19th-century Old West character.
  • B. Winchester
    Winchester is a historic cathedral city in Hampshire, England, known for its medieval architecture and former status as the capital of the Kingdom of Wessex.
  • C. Winchester
    Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • D. Winchester, Virginia
    Winchester, Virginia is a historic independent city in the northern Shenandoah Valley known for its Civil War significance, apple orchards, and annual Shenandoah Apple Blossom Festival.
  • E. Salem
    Salem is a mid-sized city in the Willamette Valley of the U.S. Pacific Northwest known for its government institutions and agricultural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5a25348190a0665b6324c4d8f5 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac997c6acc819099b1ae6e9ef47a8e completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:47 p.m.