Triple

T5025246
Position Surface form Disambiguated ID Type / Status
Subject Ohio State Route 32 E112958 entity
Predicate passesThrough P225 FINISHED
Object Athens, Ohio E19616 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: Athens, Ohio | Statement: [Ohio State Route 32, passesThrough, Athens, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athens, Ohio
Context triple: [Ohio State Route 32, passesThrough, Athens, Ohio]
  • A. Athens, Ohio chosen
    Athens, Ohio is a small Appalachian college town in southeastern Ohio best known as the home of Ohio University and for its historic, hilly setting along the Hocking River.
  • B. Oxford, Ohio
    Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
  • C. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • D. Cambridge, Ohio
    Cambridge, Ohio is a small city in eastern Ohio known as a regional crossroads and historic community in Guernsey County.
  • E. Springfield, Ohio
    Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736a0f8c819091d06275954329e9 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba5b5f84819086b7af26923f0987 completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:36 p.m.