Triple

T8465838
Position Surface form Disambiguated ID Type / Status
Subject Town of Georgina E200158 entity
Predicate hasCommunity P2605 FINISHED
Object Keswick E271870 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: Keswick | Statement: [Town of Georgina, hasCommunity, Keswick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keswick
Context triple: [Town of Georgina, hasCommunity, Keswick]
  • A. 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.
  • B. Keswick chosen
    Keswick is a suburban community within the town of Georgina in Ontario, Canada, situated along the southern shores of Lake Simcoe.
  • C. Keswick Village
    Keswick Village is a residential neighborhood located within the city of Chamblee in the Atlanta metropolitan area of Georgia.
  • D. Workington
    Workington is a coastal town and port on the west coast of England, historically known for its steel and coal industries and situated at the mouth of the River Derwent.
  • E. Glenridding
    Glenridding is a small lakeside village in England’s Lake District, popular as a base for walking, sailing, and exploring the surrounding fells.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d17ec8819093becdaec750aff5 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39e0d7788190add03271c940e1ff completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:11 p.m.