Triple

T6154608
Position Surface form Disambiguated ID Type / Status
Subject Toledo Zoo E137286 entity
Predicate serves P98 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: [Toledo Zoo, serves, Toledo metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toledo metropolitan area
Context triple: [Toledo Zoo, serves, 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d01ddb0819085b5f5338b86a25d completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ed4abc88190993cfd4ef4f2862e completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:17 p.m.