Triple

T8830313
Position Surface form Disambiguated ID Type / Status
Subject RTA Rail E210119 entity
Predicate hasStation P35 FINISHED
Object Windermere E572822 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: Windermere | Statement: [RTA Rail, hasStation, Windermere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windermere
Context triple: [RTA Rail, hasStation, 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 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.
  • C. Lake Windermere
    Lake Windermere is a long, scenic lake in southeastern British Columbia, Canada, popular for recreation and surrounded by mountain landscapes.
  • 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. Thirlmere
    Thirlmere is a reservoir in England’s Lake District, known for its scenic mountain surroundings and role in supplying water to the city of Manchester.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604db0788190a3082467d80fdaf5 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf896cf5a8819098a76288bd505c1e completed April 3, 2026, 9:33 a.m.
Created at: March 30, 2026, 6:47 p.m.