Triple

T16841431
Position Surface form Disambiguated ID Type / Status
Subject Borsetshire E409421 entity
Predicate hasFictionalRiver P49692 FINISHED
Object River Am E412458 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: River Am | Statement: [Borsetshire, hasFictionalRiver, River Am]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Am
Context triple: [Borsetshire, hasFictionalRiver, River Am]
  • A. River Am chosen
    River Am is a fictional river featured in the long-running BBC radio drama series "The Archers."
  • B. River Nar
    The River Nar is a small river in Norfolk, England, that flows through the countryside to join the River Great Ouse near King’s Lynn.
  • C. River Brain
    The River Brain is a small river in Essex, England, that serves as a tributary of the River Blackwater and flows through the town of Witham.
  • D. River Avich
    River Avich is a short river in Argyll and Bute, western Scotland, that flows through Glenavich before entering Loch Awe.
  • E. River Sem
    River Sem is a small river in Wiltshire, England, that flows through the Sem Valley before joining the River Nadder.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b35167a48190b45a459023e3ab1b completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb199168819080a9ddc7534f19a7 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.