Triple

T10056821
Position Surface form Disambiguated ID Type / Status
Subject Mount Union E208884 entity
Predicate locatedIn P40 FINISHED
Object Alliance, Ohio E289849 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: Alliance, Ohio | Statement: [Mount Union, locatedIn, Alliance, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alliance, Ohio
Context triple: [Mount Union, locatedIn, Alliance, Ohio]
  • A. Alliance, Ohio chosen
    Alliance, Ohio is a small city in northeastern Ohio known historically for its manufacturing industry and as a regional rail and transportation hub.
  • B. Union, Ohio
    Union, Ohio is a small city in Montgomery County that forms part of the Dayton metropolitan area.
  • C. Collins, Ohio
    Collins, Ohio is an unincorporated rural community located within Huron County in the U.S. state of Ohio.
  • D. Holland, Ohio
    Holland, Ohio is a small suburban village near Toledo known for its residential communities, local parks, and role as part of the greater Lucas County metropolitan area.
  • E. Tallmadge, Ohio
    Tallmadge, Ohio is a small city in northeastern Ohio known for its historic New England–style town center and early 19th-century origins.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfae503881909b9f016da4e2207d completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a5258788190a4ecdefa5b520609 completed April 5, 2026, 5:22 p.m.
Created at: March 30, 2026, 8:57 p.m.