Triple

T12914656
Position Surface form Disambiguated ID Type / Status
Subject Coolidge family store E308944 entity
Predicate county P75 FINISHED
Object Windsor County E488877 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: Windsor County | Statement: [Coolidge family store, county, Windsor County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windsor County
Context triple: [Coolidge family store, county, Windsor County]
  • A. Windsor County chosen
    Windsor County is a county in southeastern Vermont known for its historic towns, rural landscapes, and role as a regional center in the Upper Connecticut River Valley.
  • B. Oxford County
    Oxford County is a regional municipality in southwestern Ontario, Canada, known for its agricultural communities and the city of Woodstock as its largest urban center.
  • C. Oxford County
    Oxford County is a largely rural county in western Maine known for its small towns, forests, and outdoor recreation areas.
  • D. Franklin County
    Franklin County is a largely rural county in northwestern Massachusetts known for its small towns, forests, and outdoor recreation along the Connecticut River.
  • E. Franklin County
    Franklin County is a largely rural county in western Maine known for its small towns, forests, and lakes, and is part of the primary service region for Central Maine Community College.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbbccbd08190869d8de09797bc6a completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:41 p.m.