Triple

T1100627
Position Surface form Disambiguated ID Type / Status
Subject Keswick E24370 entity
Predicate near P350 FINISHED
Object Derwentwater E23429 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: Derwentwater | Statement: [Keswick, near, Derwentwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derwentwater
Context triple: [Keswick, near, Derwentwater]
  • A. Derwentwater chosen
    Derwentwater is a scenic lake in England’s Lake District, renowned for its surrounding fells, wooded shores, and popular walking and boating opportunities.
  • B. Coniston Water
    Coniston Water is a scenic lake in England’s Lake District, known for its dramatic surrounding fells, boating, and literary and historical associations.
  • C. Breich Water
    Breich Water is a small river in West Lothian, Scotland, that flows through former mining areas before joining the River Almond.
  • D. Lake Windermere
    Lake Windermere is a freshwater lake within Booderee National Park in New South Wales, Australia, known for its tranquil bushland setting and native wildlife.
  • E. Ullswater
    Ullswater is a scenic ribbon-shaped lake in England’s Lake District, renowned for its dramatic mountain backdrop, walking trails, and historic steamers.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c079f48190a0e0ddda182f7a01 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a058b88190beb883bf35377316 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:43 p.m.