Triple

T19950723
Position Surface form Disambiguated ID Type / Status
Subject Sedbergh E479545 entity
Predicate near P350 FINISHED
Object River Lune 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: River Lune | Statement: [Sedbergh, near, River Lune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Lune
Context triple: [Sedbergh, near, River Lune]
  • A. River Lune chosen
    The River Lune is a river in North West England that flows through Cumbria and Lancashire before emptying into the Irish Sea near Lancaster.
  • B. River Leen
    The River Leen is a small river in Nottinghamshire, England, that flows through the city of Nottingham before joining the River Trent.
  • C. Derwent
    Derwent is a character in Herman Melville’s epic poem "Clarel," serving as one of the intellectual and philosophical voices in the work’s exploration of faith and doubt.
  • D. Derwent
    Derwent is a well-known intellectual property and patent research brand offering tools and analytics for innovation and competitive intelligence.
  • E. River Lowther
    River Lowther is a river in Cumbria, England, that flows through the Eden Valley and is known for its scenic rural landscapes and historic bridges.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6b694c819080daea9422bcdd38 completed April 20, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:54 p.m.