Triple

T333002
Position Surface form Disambiguated ID Type / Status
Subject Severn E6663 entity
Predicate drainageBasin P1559 FINISHED
Object Severn catchment E6663 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: Severn catchment | Statement: [Severn, drainageBasin, Severn catchment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Severn catchment
Context triple: [Severn, drainageBasin, Severn catchment]
  • A. Severn chosen
    The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
  • B. River Avon
    The River Avon is a major river in southwest England that flows through the city of Bath and eventually joins the River Severn.
  • C. River Trent
    The River Trent is one of the principal rivers in the Midlands of England, flowing through cities such as Stoke-on-Trent and Nottingham before joining the Humber Estuary.
  • D. River Kennet
    River Kennet is a significant chalk stream in southern England that flows through Wiltshire and Berkshire before joining the River Thames.
  • E. Cherwell
    Cherwell is a local government district in Oxfordshire, England, encompassing towns such as Banbury, Bicester, and Kidlington.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac4d9d081908a624464e450fb0e completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42a11882081909636a47397fbfc13 completed March 1, 2026, 11:59 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.