Triple

T5344079
Position Surface form Disambiguated ID Type / Status
Subject Ullswater Steamers E124009 entity
Predicate locatedNear P294 FINISHED
Object Glenridding E128097 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: Glenridding | Statement: [Ullswater Steamers, locatedNear, Glenridding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenridding
Context triple: [Ullswater Steamers, locatedNear, Glenridding]
  • A. Glenridding chosen
    Glenridding is a small lakeside village in England’s Lake District, popular as a base for walking, sailing, and exploring the surrounding fells.
  • B. Keswick
    Keswick is a historic market town and popular tourist base in England’s Lake District, known for its scenic setting near Derwentwater and surrounding fells.
  • C. Keswick
    Keswick is a suburban community within the town of Georgina in Ontario, Canada, situated along the southern shores of Lake Simcoe.
  • D. Coniston
    Coniston is a village in England’s Lake District that serves as a popular base for exploring the surrounding fells and nearby Coniston Water.
  • E. Kirkby Stephen
    Kirkby Stephen is a small market town in Cumbria, England, known for its historic architecture and scenic location near the Yorkshire Dales and Lake District.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ea5e748190a9943de794e5c1ec completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21c5f82481908e9061d68c1e7496 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.