Triple

T4937943
Position Surface form Disambiguated ID Type / Status
Subject Ohio State Route 33 E110857 entity
Predicate connectsCity P4245 FINISHED
Object Lima, Ohio E469161 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: Lima, Ohio | Statement: [Ohio State Route 33, connectsCity, Lima, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima, Ohio
Context triple: [Ohio State Route 33, connectsCity, Lima, Ohio]
  • A. Lima, Ohio chosen
    Lima, Ohio is a small Midwestern city best known in popular culture as the hometown setting of the television series "Glee."
  • B. Limaville, Ohio
    Limaville, Ohio is a small unincorporated community and census-designated place located in northeastern Ohio within Stark County.
  • C. Havana, Ohio
    Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
  • D. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • E. Portsmouth, Ohio
    Portsmouth, Ohio is a small city along the Ohio River historically known for its early NFL franchise, the Portsmouth Spartans, which later became the Detroit Lions.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70872270819080769dad972681ef completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf91e444b081909d97eebf04d7f380 completed March 22, 2026, 6:53 a.m.
Created at: March 20, 2026, 1:31 p.m.