Triple

T4991033
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Winchester E112128 entity
Predicate hasSeeCity P13558 FINISHED
Object Winchester E51116 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 | Statement: [Bishop of Winchester, hasSeeCity, Winchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winchester
Context triple: [Bishop of Winchester, hasSeeCity, Winchester]
  • A. Winchester
    Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • B. Winchester chosen
    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, 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.
  • 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. Lexington
    Lexington is a historic independent city in western Virginia known for its military and educational institutions, including the Virginia Military Institute and Washington and Lee University.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd728141d48190a0713e6d33c50fb6 completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a282dd08190a29b92e8e825a3bb completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.