Triple

T332980
Position Surface form Disambiguated ID Type / Status
Subject Severn E6663 entity
Predicate flowsThroughSettlement P9749 FINISHED
Object Shrewsbury E30803 NE FINISHED

How this triple was built (3 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: Shrewsbury | Statement: [Severn, flowsThroughSettlement, Shrewsbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shrewsbury
Context triple: [Severn, flowsThroughSettlement, Shrewsbury]
  • A. Shrewsbury chosen
    Shrewsbury is a historic market town in Shropshire, England, known for its well-preserved medieval streets and timber-framed buildings.
  • B. Shrewsbury and Atcham
    Shrewsbury and Atcham is a UK parliamentary constituency in Shropshire, England, represented in the House of Commons.
  • C. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • D. Warwick
    Warwick is a historic coastal city in Rhode Island known for its role in early American colonial history and as a major suburb of Providence.
  • E. Banbury
    Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: flowsThroughSettlement
Context triple: [Severn, flowsThroughSettlement, Shrewsbury]
  • A. flowsAt chosen
    Indicates that a fluid or substance moves through or along a specific location, point, or region.
  • B. settlementPattern
    Indicates how human dwellings or communities are spatially arranged and distributed across a geographic area.
  • C. associatedWithSettlement
    Indicates a relationship where an entity is linked or connected to a particular settlement, such as a town, village, or city.
  • D. flowType
    Indicates the kind or category of flow (such as direction, pattern, or mode of movement/transfer) that characterizes the relationship between entities.
  • E. settlementType
    Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
  • F. None of above.

Provenance (4 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_69a3eca3d2f08190a0d4008cfb000f4f completed March 1, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69a2e94d99cc8190a112e4b630ec63c1 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.