Triple

T19203020
Position Surface form Disambiguated ID Type / Status
Subject Sylvania Schools E480155 entity
Predicate servesCity P82 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: [Sylvania Schools, servesCity, Sylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvania
Context triple: [Sylvania Schools, servesCity, Sylvania]
  • A. Sylvania
    Sylvania is a fictional European country best known as the rival nation in the Marx Brothers film "Duck Soup."
  • B. Sylvania chosen
    Sylvania is a suburban city in northwest Ohio, known for its residential communities, parks, and proximity to Toledo.
  • C. Sylvania
    Sylvania is a long-established lighting and electronics brand known for its consumer and professional light bulbs, fixtures, and related electrical products.
  • D. Sylvania
    Sylvania is a suburb in southern Sydney, New South Wales, Australia, located on the southern side of the Georges River.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99a571c8190a1d53eb1994e0058 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:13 p.m.