Triple

T23004365
Position Surface form Disambiguated ID Type / Status
Subject Toledo Strip E572720 entity
Predicate contains P35 FINISHED
Object city of Toledo, Ohio 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: city of Toledo, Ohio | Statement: [Toledo Strip, contains, city of Toledo, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Toledo, Ohio
Context triple: [Toledo Strip, contains, city of Toledo, Ohio]
  • A. Toledo, Ohio metropolitan area
    The Toledo, Ohio metropolitan area is a regional urban and economic hub in northwest Ohio centered on the city of Toledo and its surrounding communities along the western end of Lake Erie.
  • B. 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.
  • C. Toledo
    Toledo is a Spanish-origin surname borne by various notable individuals across fields such as sports, politics, and the arts.
  • D. Toledo chosen
    Toledo is a small village in east-central Illinois that serves as the administrative and commercial hub of Cumberland County.
  • E. 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.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183556cd08190b18780680bc4f23e completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.