Triple

T22883363
Position Surface form Disambiguated ID Type / Status
Subject Freedonia E567534 entity
Predicate atWarWith P34806 FINISHED
Object Sylvania 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: Sylvania | Statement: [Freedonia, atWarWith, Sylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvania
Context triple: [Freedonia, atWarWith, Sylvania]
  • A. Sylvania chosen
    Sylvania is a fictional European country best known as the rival nation in the Marx Brothers film "Duck Soup."
  • B. Sylvania
    Sylvania is a suburban city in northwest Ohio, known for its residential communities, parks, and proximity to Toledo.
  • C. Sylvania
    Sylvania is a suburb in southern Sydney, New South Wales, Australia, located on the southern side of the Georges River.
  • D. Sylvania
    Sylvania is a long-established lighting and electronics brand known for its consumer and professional light bulbs, fixtures, and related electrical products.
  • E. Natone
    Natone is a rural locality in Tasmania, Australia, situated inland from the coastal city of Burnie.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5dab048190a09c725dad123472 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.