Triple

T10379823
Position Surface form Disambiguated ID Type / Status
Subject Werse E244607 entity
Predicate flowsThrough P225 FINISHED
Object Beckum E601001 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: Beckum | Statement: [Werse, flowsThrough, Beckum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beckum
Context triple: [Werse, flowsThrough, Beckum]
  • A. Beckum chosen
    Beckum is a town in the district of Warendorf in North Rhine-Westphalia, Germany, known historically for its cement industry and location in the Münsterland region.
  • B. Cleckheaton
    Cleckheaton is a town in West Yorkshire, England, historically part of the Heavy Woollen District and known for its textile industry heritage.
  • C. Bacup
    Bacup is a small former mill town in Lancashire, England, known for its well-preserved Victorian architecture and industrial heritage in the South Pennines.
  • D. Pontefract
    Pontefract is a historic market town in northern England, noted for its medieval castle ruins and traditional liquorice confectionery.
  • E. Woodthorpe
    Woodthorpe is a suburban residential area near Arnold in Nottinghamshire, England, known for its quiet streets and local amenities.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e991056c8190a981f717c51f1f72 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7958803e88190a7bbeda4f2c6f32c completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:03 p.m.