Triple

T17956630
Position Surface form Disambiguated ID Type / Status
Subject West Dorset E448966 entity
Predicate containsTown P847 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: [West Dorset, containsTown, Dorchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorchester
Context triple: [West Dorset, containsTown, 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afb0afe08190964e771ec632fa1e completed April 19, 2026, 10:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03300b9c348190b3ed7b66184ba350 completed May 12, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:21 a.m.