Triple

T19203021
Position Surface form Disambiguated ID Type / Status
Subject Sylvania Schools E480155 entity
Predicate servesArea P82 FINISHED
Object Sylvania Township 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 Township | Statement: [Sylvania Schools, servesArea, Sylvania Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvania Township
Context triple: [Sylvania Schools, servesArea, Sylvania Township]
  • A. Sylvania Township chosen
    Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
  • B. Sylvan Township
    Sylvan Township is a civil township in Washtenaw County, Michigan, functioning as a suburban-rural community within the Ann Arbor metropolitan area.
  • C. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • D. Riverside Township
    Riverside Township is a suburban township in Cook County, Illinois, encompassing the village of Riverside and surrounding communities just west of Chicago.
  • E. Riverside Township
    Riverside Township is a small New Jersey municipality in Burlington County, known historically for its industrial roots and riverside location along the Delaware River.
  • 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.