Triple

T22588994
Position Surface form Disambiguated ID Type / Status
Subject Birchwood railway station E564885 entity
Predicate hasServiceTo P6787 FINISHED
Object Windermere NE NERFINISHED

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: Windermere | Statement: [Birchwood railway station, hasServiceTo, Windermere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windermere
Context triple: [Birchwood railway station, hasServiceTo, Windermere]
  • A. Windermere
    Windermere is the largest natural lake in England and a popular tourist destination in the Lake District known for its scenic beauty and boating activities.
  • B. Windermere
    Windermere is a small lakeside community in Ontario’s Muskoka region, known for its scenic waterfront, cottages, and resort atmosphere.
  • C. Windermere
    Windermere is a small lakeside community in Ontario’s Muskoka region, known for its scenic waterfront, cottages, and resort tourism.
  • D. Windermere chosen
    Windermere is a town in England’s Lake District, known for its proximity to Lake Windermere and its popularity as a tourist destination for outdoor and waterside activities.
  • E. Lake Windermere
    Lake Windermere is a long, scenic lake in southeastern British Columbia, Canada, popular for recreation and surrounded by mountain landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615ea5bc8190b7760cd0de9669dd completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:48 p.m.