Triple

T10277101
Position Surface form Disambiguated ID Type / Status
Subject Miami RedHawks football E240995 entity
Predicate stadiumLocation P40 FINISHED
Object Oxford, Ohio E446523 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: Oxford, Ohio | Statement: [Miami RedHawks football, stadiumLocation, Oxford, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford, Ohio
Context triple: [Miami RedHawks football, stadiumLocation, Oxford, Ohio]
  • A. Oxford, Ohio chosen
    Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
  • B. Dublin, Ohio
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • C. Oakwood, Ohio
    Oakwood, Ohio is a small, affluent suburban city near Dayton known for its historic homes, strong public schools, and tree-lined residential neighborhoods.
  • D. Montgomery, Ohio
    Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
  • E. Urbana, Ohio
    Urbana, Ohio is a small city in Champaign County known for its historic downtown, role as the county seat, and proximity to both Dayton and Springfield 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d28c3b10819093cdab1392384dd4 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee85e044e881909d426f7121dd89e1 completed April 26, 2026, 9:38 p.m.
Created at: April 6, 2026, 11:37 a.m.