Triple

T13584696
Position Surface form Disambiguated ID Type / Status
Subject Nayland E324516 entity
Predicate hasRegion P285 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: [Nayland, hasRegion, Suffolk countryside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suffolk countryside
Context triple: [Nayland, hasRegion, 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03310fc819092a56b9f2d73f560 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc148d08190821614a866d1a7f0 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.