Triple

T12539686
Position Surface form Disambiguated ID Type / Status
Subject Woolpit church E299802 entity
Predicate region P40 FINISHED
Object Suffolk countryside E53163 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: Suffolk countryside | Statement: [Woolpit church, region, Suffolk countryside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suffolk countryside
Context triple: [Woolpit church, region, Suffolk countryside]
  • A. Bedfordshire countryside
    The Bedfordshire countryside is a gently rolling rural landscape in central England, characterized by farmland, woodlands, and historic estates.
  • B. Kentish countryside
    The Kentish countryside is a picturesque rural region in southeast England renowned for its orchards, hop gardens, rolling farmland, and historic villages.
  • C. Surrey countryside
    The Surrey countryside is a picturesque region of rolling hills, woodlands, and farmland in southeast England, known for its scenic beauty and traditional rural character.
  • D. Suffolk, England chosen
    Suffolk, England is a historic rural county in East Anglia known for its medieval towns, coastal landscapes, and agricultural heritage.
  • E. Suffolk Coastal
    Suffolk Coastal is a UK parliamentary constituency in Suffolk that covers a stretch of the county’s eastern coastline, including towns and villages such as Orford.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546fc620819093335988dbab3256 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb10618819092540de09997a0c5 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:57 p.m.