Triple

T180513
Position Surface form Disambiguated ID Type / Status
Subject Grasmere E3863 entity
Predicate locatedIn P40 FINISHED
Object Lake District E3863 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: Lake District | Statement: [Grasmere, locatedIn, Lake District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake District
Context triple: [Grasmere, locatedIn, Lake District]
  • A. Lake District chosen
    The Lake District is a mountainous national park in Cumbria, England, famed for its scenic lakes, fells, and association with Romantic poets like William Wordsworth.
  • B. 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.
  • C. 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.
  • D. Ullswater
    Ullswater is a scenic ribbon-shaped lake in England’s Lake District, renowned for its dramatic mountain backdrop, walking trails, and historic steamers.
  • E. Cotswolds
    The Cotswolds is a picturesque rural region in south-central England known for its rolling hills, honey-colored stone villages, and historic market towns.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25901a9188190b8f510bec8c8e7f2 completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a31c91b22c8190a1d04983ae4fd793 completed Feb. 28, 2026, 4:49 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.