Triple

T14856095
Position Surface form Disambiguated ID Type / Status
Subject Leven Estuary E349353 entity
Predicate region P40 FINISHED
Object Furness E1115996 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: Furness | Statement: [Leven Estuary, region, Furness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Furness
Context triple: [Leven Estuary, region, Furness]
  • A. Furness chosen
    Furness is a peninsula and historic region in Cumbria, England, known for its industrial heritage, coastal landscapes, and proximity to the Lake District.
  • B. Furness
    Furness is an English-origin surname borne by various notable figures, including scholars, architects, and public officials.
  • C. Furness Vale
    Furness Vale is a small village in Derbyshire, England, situated in the High Peak area of the Peak District.
  • D. Barrow and Furness
    Barrow and Furness is a UK parliamentary constituency in Cumbria that includes the industrial town of Barrow-in-Furness and surrounding areas.
  • E. High Furness
    High Furness is the upland, largely rural and scenic northern part of the Furness Peninsula in Cumbria, England, known for its fells, forests, and proximity to the 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44458ec8190be295a95f5daab14 completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bc9db7c8190af08b26471d28e97 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 1:54 a.m.