Triple

T8852291
Position Surface form Disambiguated ID Type / Status
Subject Walter Scott E210665 entity
Predicate notableWork P4 FINISHED
Object Waverley E208364 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: Waverley | Statement: [Walter Scott, notableWork, Waverley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waverley
Context triple: [Walter Scott, notableWork, Waverley]
  • A. Waverley
    Waverley is a commuter rail station in Belmont, Massachusetts, served by the MBTA’s Fitchburg Line.
  • B. Waverley
    Waverley is a local government district and borough in Surrey, England, known for its market towns, rural landscapes, and part of the Surrey Hills Area of Outstanding Natural Beauty.
  • C. Waverley chosen
    Waverley is an 1814 historical novel by Sir Walter Scott, often regarded as one of the first major works of historical fiction in English literature.
  • D. Waverley
    Waverley is a suburban community within the Halifax Regional Municipality in Nova Scotia, Canada, known historically for its gold mining and lakeside setting.
  • E. Waverley
    Waverley is a coastal suburb in Sydney’s Eastern Suburbs, noted for its historic cemetery, proximity to Bondi Beach, and scenic ocean views.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c3c5548190926e374bbe592180 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa08c3f0081909a9aad5599f7deb2 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.