Triple

T21707199
Position Surface form Disambiguated ID Type / Status
Subject Moreton, Dorset E535800 entity
Predicate nearestTown P350 FINISHED
Object Dorchester NE NERFINISHED

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: Dorchester | Statement: [Moreton, Dorset, nearestTown, Dorchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorchester
Context triple: [Moreton, Dorset, nearestTown, Dorchester]
  • A. Dorchester chosen
    Dorchester is a historic market town in Dorset, England, known as the county town and closely associated with the life and works of novelist Thomas Hardy.
  • B. Dorchester
    Dorchester is one of the earliest English settlements in New England, now a historic neighborhood of Boston, Massachusetts.
  • C. Roxbury
    Roxbury is a small rural town in Cheshire County, New Hampshire, known for its forested landscape and quiet residential character.
  • D. Roxbury
    Roxbury is one of the earliest English-settled neighborhoods of present-day Boston, historically significant as a colonial town in what became Massachusetts.
  • E. Roxbury
    Roxbury is a small town located in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb530779c819080204c3bd2f6afa2 completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.