Triple

T11174939
Position Surface form Disambiguated ID Type / Status
Subject Fanny Fassitt Furness E264385 entity
Predicate familyName P18 FINISHED
Object Furness E884377 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: [Fanny Fassitt Furness, familyName, Furness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Furness
Context triple: [Fanny Fassitt Furness, familyName, Furness]
  • A. Furness chosen
    Furness is an English-origin surname borne by various notable figures, including scholars, architects, and public officials.
  • B. Furness Vale
    Furness Vale is a small village in Derbyshire, England, situated in the High Peak area of the Peak District.
  • C. 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.
  • D. 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.
  • E. Torpenhow
    Torpenhow is a small village in the Allerdale district of Cumbria, England, known for its historic church and distinctive place-name.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e897774c819088ebc7231cebfba6 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463c4e7048190a935727344e73f89 completed April 19, 2026, 5:10 a.m.
Created at: April 8, 2026, 9:29 p.m.