Triple

T14620131
Position Surface form Disambiguated ID Type / Status
Subject Overland Track E343194 entity
Predicate passesThrough P225 FINISHED
Object Windermere E98249 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: [Overland Track, passesThrough, Windermere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windermere
Context triple: [Overland Track, passesThrough, 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
    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 chosen
    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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46550e48190af45f426f02579bb completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0763ca081909fa8bcbdc46f2fac completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:25 a.m.