Triple

T1098598
Position Surface form Disambiguated ID Type / Status
Subject Daniel Morgan E24325 entity
Predicate deathPlace P21 FINISHED
Object Winchester, Virginia E50064 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: Winchester, Virginia | Statement: [Daniel Morgan, deathPlace, Winchester, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winchester, Virginia
Context triple: [Daniel Morgan, deathPlace, Winchester, Virginia]
  • A. Winchester, Virginia chosen
    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.
  • 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, Kentucky
    Winchester, Kentucky is a small historic city in Clark County that serves as a commercial and cultural hub for the Central Kentucky region.
  • E. Staunton, Virginia
    Staunton, Virginia is a historic independent city in the Shenandoah Valley known for its well-preserved downtown, cultural institutions, and as the birthplace of President Woodrow Wilson.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9bd4eec819094fe09e13b7b07b8 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69adb5a95a7c81908ea80c0f857a8d4a completed March 8, 2026, 5:45 p.m.
Created at: March 1, 2026, 7:43 p.m.