Triple

T9514021
Position Surface form Disambiguated ID Type / Status
Subject Glenwillow E229475 entity
Predicate locatedNear P294 FINISHED
Object Twinsburg, Ohio E539058 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: Twinsburg, Ohio | Statement: [Glenwillow, locatedNear, Twinsburg, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twinsburg, Ohio
Context triple: [Glenwillow, locatedNear, Twinsburg, Ohio]
  • A. Twinsburg chosen
    Twinsburg is a small city in northeastern Ohio known for its annual Twins Days Festival, which attracts twins and multiples from around the world.
  • B. Austintown, Ohio
    Austintown, Ohio is a suburban community near Youngstown known for its residential neighborhoods, schools, and role as part of the greater Mahoning Valley region.
  • C. Brunswick, Ohio
    Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland metropolitan area.
  • D. Dresden, Ohio
    Dresden, Ohio is a small village in Muskingum County known historically as the original home of the Longaberger Company and its handcrafted baskets.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd986bfcac8190aa97f8975cb17f6c completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d380c81c7c81908361d237d79f1ff0 completed April 6, 2026, 9:45 a.m.
Created at: March 30, 2026, 7:58 p.m.