Triple

T6721549
Position Surface form Disambiguated ID Type / Status
Subject Allerdale E153407 entity
Predicate contains P35 FINISHED
Object Keswick E24370 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: [Allerdale, contains, Keswick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keswick
Context triple: [Allerdale, contains, Keswick]
  • A. Keswick chosen
    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
    Keswick is a suburban community within the town of Georgina in Ontario, Canada, situated along the southern shores of Lake Simcoe.
  • C. 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.
  • D. Glenridding
    Glenridding is a small lakeside village in England’s Lake District, popular as a base for walking, sailing, and exploring the surrounding fells.
  • E. Kirkby Stephen
    Kirkby Stephen is a small market town in Cumbria, England, known for its historic architecture and scenic location near the Yorkshire Dales and Lake District.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d13861a08190ad19a16dcd76c908 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723be89c88190b4e231099b2a3071 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:07 p.m.