Triple

T18686412
Position Surface form Disambiguated ID Type / Status
Subject Jefferson, Ohio E456876 entity
Predicate locatedNear P294 FINISHED
Object Ashtabula, Ohio NE NERFINISHED

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: Ashtabula, Ohio | Statement: [Jefferson, Ohio, locatedNear, Ashtabula, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashtabula, Ohio
Context triple: [Jefferson, Ohio, locatedNear, Ashtabula, Ohio]
  • A. Ashtabula, Ohio chosen
    Ashtabula, Ohio is a small industrial and port city on Lake Erie in northeastern Ohio, historically known for its shipping industry and diverse immigrant communities.
  • B. Maumee, Ohio
    Maumee, Ohio is a historic suburban city near Toledo known for its location along the Maumee River and its role in the region’s early commercial and transportation development.
  • C. Johnstown, Ohio
    Johnstown, Ohio is a small village in central Ohio known for its close-knit community and location within the Columbus metropolitan area.
  • D. Lorain
    Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
  • E. Hudson, Ohio
    Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2d9a24819098c8e963ee430437 completed April 19, 2026, 10:46 p.m.
Created at: April 10, 2026, 11:49 a.m.