Triple

T23509709
Position Surface form Disambiguated ID Type / Status
Subject River Tone E572381 entity
Predicate partOf P40 FINISHED
Object Somerset Levels NE NERFINISHED

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: Somerset Levels | Statement: [River Tone, partOf, Somerset Levels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somerset Levels
Context triple: [River Tone, partOf, Somerset Levels]
  • A. Somerset Levels chosen
    The Somerset Levels are a low-lying coastal plain and wetland area in southwest England, known for their extensive drainage ditches, rich wildlife habitats, and history of flooding.
  • B. Suffolk Levels
    The Suffolk Levels are a low-lying, marshy coastal landscape in eastern England known for their grazing marshes, drainage ditches, and rich wetland wildlife.
  • C. Shropshire Plain
    Shropshire Plain is a broad, low-lying agricultural landscape in Shropshire, England, characterized by its gently rolling fields and rural scenery.
  • D. Yorkshire Lowlands
    The Yorkshire Lowlands are a broad, low-lying agricultural region in northern England characterized by fertile plains, gentle landscapes, and important river valleys.
  • E. Staffordshire Moorlands
    Staffordshire Moorlands is a largely rural district in Staffordshire, England, known for its upland landscapes, parts of the Peak District, and historic market towns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a90455f0819092b37c69d7e73c43 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.