Triple

T14844707
Position Surface form Disambiguated ID Type / Status
Subject River Piddle E349054 entity
Predicate locatedNear P294 FINISHED
Object Dorchester E343498 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: Dorchester | Statement: [River Piddle, locatedNear, Dorchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorchester
Context triple: [River Piddle, locatedNear, 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 one of the earliest English-settled neighborhoods of present-day Boston, historically significant as a colonial town in what became Massachusetts.
  • D. Roxbury
    Roxbury is a small town located in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
  • E. Charlestown
    Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded291103c8190a64cfe700bfee197 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe65010190819083ec051eb5d82839 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.