Triple

T4937946
Position Surface form Disambiguated ID Type / Status
Subject Ohio State Route 33 E110857 entity
Predicate connectsCity P4245 FINISHED
Object Nelsonville, Ohio E516569 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: Nelsonville, Ohio | Statement: [Ohio State Route 33, connectsCity, Nelsonville, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelsonville, Ohio
Context triple: [Ohio State Route 33, connectsCity, Nelsonville, Ohio]
  • A. Nelsonville, Ohio chosen
    Nelsonville, Ohio is a small historic city in southeastern Ohio known for its Appalachian setting, former brickmaking industry, and access to outdoor recreation areas including the Hockhocking Adena Bikeway.
  • B. Niles, Ohio
    Niles, Ohio is a small industrial city in northeastern Ohio best known as the birthplace of U.S. President William McKinley.
  • C. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • D. Mount Vernon, Ohio
    Mount Vernon, Ohio is a small historic city in central Ohio that serves as the county seat of Knox County and a regional hub for education, commerce, and transportation.
  • E. Riverside, Ohio
    Riverside, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
  • 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_69bf486d43488190b57e064b0272ece4 completed March 22, 2026, 1:39 a.m.
Created at: March 20, 2026, 1:31 p.m.