Triple

T4924748
Position Surface form Disambiguated ID Type / Status
Subject Sylvania, Ohio E110550 entity
Predicate partOf P40 FINISHED
Object Toledo metropolitan area E25661 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: Toledo metropolitan area | Statement: [Sylvania, Ohio, partOf, Toledo metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toledo metropolitan area
Context triple: [Sylvania, Ohio, partOf, Toledo metropolitan area]
  • A. Toledo City
    Toledo City is a coastal component city on the western side of Cebu Island in the Philippines, known for its mining industry and port facilities.
  • B. Columbus metropolitan area
    The Columbus metropolitan area is a regional urban and economic hub centered on the city of Columbus in western Georgia, extending into east-central Alabama.
  • C. Columbus metropolitan area
    The Columbus metropolitan area is a major urban and economic region in central Ohio centered on the city of Columbus and encompassing numerous surrounding communities and suburbs.
  • D. Toledo
    Toledo is a historic Spanish city renowned for its medieval architecture, cultural heritage, and role as a major political and religious center in Spain’s history.
  • E. Toledo chosen
    Toledo is a major city in northwestern Ohio, known as an industrial and transportation hub on the western end of Lake Erie.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffeb86c8190a2fabe1ae1d54118 completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c2cb288190b0a603992c08235c completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:30 p.m.