Triple

T6210936
Position Surface form Disambiguated ID Type / Status
Subject River Don E138865 entity
Predicate hasTributary P415 FINISHED
Object River Rother E147082 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 Rother | Statement: [River Don, hasTributary, River Rother]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Rother
Context triple: [River Don, hasTributary, River Rother]
  • A. River Rother chosen
    The River Rother is a river in central England that flows through Derbyshire and South Yorkshire before joining the River Don.
  • B. River Rother
    River Rother is a river in East Sussex, England, that flows through the Weald to the English Channel near the town of Rye.
  • C. River Adur
    The River Adur is a river in West Sussex, England, that flows through the South Downs to reach the English Channel at Shoreham-by-Sea.
  • D. River Darent
    River Darent is a chalk stream river in Kent, England, flowing north through the Darent Valley to join the River Thames.
  • E. River Kennet
    River Kennet is a significant chalk stream in southern England that flows through Wiltshire and Berkshire before joining the River Thames.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062896f3881909f264bb45badc5d0 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a5979208190b3bedb6234181245 completed March 28, 2026, 12:01 a.m.
Created at: March 22, 2026, 4:21 p.m.