Triple

T6427679
Position Surface form Disambiguated ID Type / Status
Subject Place Fell E128099 entity
Predicate near P350 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: [Place Fell, near, Glenridding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenridding
Context triple: [Place Fell, near, 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. Seathwaite
    Seathwaite is a small hamlet in the Lake District of Cumbria, England, known as a popular starting point for walks and climbs in the surrounding fells.
  • C. 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.
  • D. Keswick
    Keswick is a suburban community within the town of Georgina in Ontario, Canada, situated along the southern shores of Lake Simcoe.
  • E. 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.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06920cef48190a884df8f12987a0d completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bbc865c81909bf064b9253bc263 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:44 p.m.