Triple

T16786941
Position Surface form Disambiguated ID Type / Status
Subject Market Rasen E408003 entity
Predicate hasRiver P165 FINISHED
Object River Rase 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 Rase | Statement: [Market Rasen, hasRiver, River Rase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Rase
Context triple: [Market Rasen, hasRiver, River Rase]
  • A. River Rase chosen
    River Rase is a small river in Lincolnshire, England, that flows through the Lincolnshire Wolds before joining the River Ancholme.
  • B. River Avich
    River Avich is a short river in Argyll and Bute, western Scotland, that flows through Glenavich before entering Loch Awe.
  • C. River Peover
    River Peover is a small river in Cheshire, England, that flows through rural countryside before joining the River Weaver.
  • D. Ource River
    The Ource River is a small river in northeastern France that flows through the Champagne region, including the village of Essoyes, before joining the Seine.
  • E. River Odon
    The River Odon is a small watercourse in Normandy, France, notable for its strategic role during World War II battles such as Operation Epsom.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21b6a408190b0766138cc9a9ee2 completed April 18, 2026, 4:32 p.m.
Created at: April 10, 2026, 5:22 a.m.