Triple

T3089809
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Somerleyton E301437 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: Somerleyton | Statement: [Suffolk, containsSettlement, Somerleyton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somerleyton
Context triple: [Suffolk, containsSettlement, Somerleyton]
  • A. Somerleyton chosen
    Somerleyton is a village in Suffolk, England, known for its historic Somerleyton Hall and well-preserved Victorian estate.
  • B. Walberswick
    Walberswick is a picturesque coastal village in eastern England known for its sandy beach, marshes, and traditional charm.
  • C. Halesworth
    Halesworth is a small historic market town in Suffolk, England, known for its traditional high street and proximity to the Suffolk Coast and Heaths Area of Outstanding Natural Beauty.
  • D. Dereham
    Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
  • E. Kempshott
    Kempshott is a residential suburb of Basingstoke in Hampshire, England, known for its family housing and local amenities.
  • 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.