Triple

T6000859
Position Surface form Disambiguated ID Type / Status
Subject Kent State University E133591 entity
Predicate locatedIn P40 FINISHED
Object Kent, Ohio E156899 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: Kent, Ohio | Statement: [Kent State University, locatedIn, Kent, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent, Ohio
Context triple: [Kent State University, locatedIn, Kent, Ohio]
  • A. Kent, Ohio chosen
    Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
  • B. Kettering, Ohio
    Kettering, Ohio is a suburban city near Dayton known for its residential communities, parks, and role as a commercial and cultural hub in the Miami Valley region.
  • C. Oakland, Kentucky
    Oakland, Kentucky is a small town in Warren County that functions as part of the broader Bowling Green regional community in south-central Kentucky.
  • D. Bryan, Ohio
    Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
  • E. 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.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04ee7c0e08190a6e78969448b070a completed March 22, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518c29dfc8190a55a54fbe6608dd2 completed March 26, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:05 p.m.