Triple

T608416
Position Surface form Disambiguated ID Type / Status
Subject Worcester County, Massachusetts E12044 entity
Predicate namedAfter P63 FINISHED
Object Worcester, England E29470 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: Worcester, England | Statement: [Worcester County, Massachusetts, namedAfter, Worcester, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worcester, England
Context triple: [Worcester County, Massachusetts, namedAfter, Worcester, England]
  • A. Worcestershire, England chosen
    Worcestershire, England is a historic county in the West Midlands known for its rural landscapes, cathedral city of Worcester, and the origin of Worcestershire sauce.
  • B. Cambridge, England
    Cambridge, England is a historic university city on the River Cam renowned for the University of Cambridge and its longstanding contributions to education, science, and culture.
  • C. Middlesex, England
    Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
  • D. Shrewsbury
    Shrewsbury is a historic market town in Shropshire, England, known for its well-preserved medieval streets and timber-framed buildings.
  • E. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df54eec8190af3f5f04c01d5d2a completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55a7561dc81908e2e2516c63c18a7 completed March 2, 2026, 9:37 a.m.
Created at: March 1, 2026, 7:35 p.m.