Triple

T145425
Position Surface form Disambiguated ID Type / Status
Subject Northern England E2942 entity
Predicate hasLandmark P105 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: [Northern England, hasLandmark, Lake District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake District
Context triple: [Northern England, hasLandmark, 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. 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.
  • C. Cumbria
    Cumbria is a largely rural county in North West England known for its dramatic landscapes, including most of the Lake District National Park.
  • D. Liverpool Range
    The Liverpool Range is a rugged mountain range in New South Wales, Australia, forming part of the inland-dividing highlands that influence regional climate and river systems.
  • E. The Fens
    The Fens is a historic urban park and restored wetland in Boston, Massachusetts, designed by Frederick Law Olmsted as part of a larger interconnected greenway.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257ea7eac8190884a53453a9e0dd6 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c52c563c81908a53f3dbe1eb7455 completed Feb. 28, 2026, 10:36 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.