Triple

T6924894
Position Surface form Disambiguated ID Type / Status
Subject River Brathay E160279 entity
Predicate flowsInto P408 FINISHED
Object Windermere E22650 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: [River Brathay, flowsInto, Windermere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windermere
Context triple: [River Brathay, flowsInto, Windermere]
  • A. Windermere chosen
    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 freshwater lake within Booderee National Park in New South Wales, Australia, known for its tranquil bushland setting and native wildlife.
  • D. Lake Windermere
    Lake Windermere is a long, scenic lake in southeastern British Columbia, Canada, popular for recreation and surrounded by mountain landscapes.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da18b6388190947dfc1eb9e5d382 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d67da5708190973ac88aa67e32b1 completed March 29, 2026, 7:36 a.m.
Created at: March 27, 2026, 2:26 p.m.