Triple

T3089649
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Chelsworth E299760 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: Chelsworth | Statement: [Suffolk, containsSettlement, Chelsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsworth
Context triple: [Suffolk, containsSettlement, Chelsworth]
  • A. Chelsworth chosen
    Chelsworth is a small rural village and civil parish in Suffolk, England, known for its historic buildings and picturesque countryside setting.
  • B. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • C. Cherkley
    Cherkley is a historic English country estate in Surrey, best known as the former home of newspaper magnate Lord Beaverbrook.
  • D. Culcheth
    Culcheth is a large village and civil parish in Cheshire, England, known for its residential character and proximity to the town of Warrington.
  • E. Clisham
    Clisham is the highest mountain on the Isle of Harris in Scotland’s Outer Hebrides, known for its rugged terrain and panoramic coastal views.
  • 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_69b1f8a4c1f08190a80efd190e4ed07f completed March 11, 2026, 11:20 p.m.
Created at: March 8, 2026, 3:03 p.m.