Triple

T3089599
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Boxford E308483 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: Boxford | Statement: [Suffolk, containsSettlement, Boxford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boxford
Context triple: [Suffolk, containsSettlement, Boxford]
  • A. Boxford chosen
    Boxford is a village and civil parish in Suffolk, England, known for its historic buildings and rural character.
  • B. Glemsford
    Glemsford is a village and civil parish in the county of Suffolk in eastern England, known for its historic buildings and rural character.
  • C. Whittlesey
    Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
  • D. Thetford
    Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
  • E. Lavenham
    Lavenham is a historic medieval wool town in Suffolk, England, renowned for its well-preserved timber-framed buildings and picturesque streets.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20d8f788190b05b8b6b5042bc1a completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20364f8ac8190898b2aef195eb85f completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:03 p.m.