Triple

T23204024
Position Surface form Disambiguated ID Type / Status
Subject Spencer Dinwiddie E580395 entity
Predicate familyName P18 FINISHED
Object Dinwiddie NE NERFINISHED

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: Dinwiddie | Statement: [Spencer Dinwiddie, familyName, Dinwiddie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinwiddie
Context triple: [Spencer Dinwiddie, familyName, Dinwiddie]
  • A. Dinwiddie chosen
    Dinwiddie is an unincorporated community in south-central Virginia that serves as the administrative center of Dinwiddie County.
  • B. Dunmore
    Dunmore is a borough in northeastern Pennsylvania that functions as a residential and industrial community adjacent to the city of Scranton.
  • C. Dunmore
    Dunmore is a locality in the Shellharbour region of New South Wales, Australia, known historically for its railway station on the South Coast line.
  • D. Dunmore
    Dunmore is a small hamlet in southeastern Alberta, Canada, serving as a local service and residential center near the city of Medicine Hat.
  • E. Dunmore
    Dunmore is a small village in central Scotland, known for its historic Dunmore Pineapple folly and its proximity to the River Forth.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907b3e88819088a397a99456bf77 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.