Triple

T23453629
Position Surface form Disambiguated ID Type / Status
Subject Ashtabula County, Ohio E567855 entity
Predicate hasCity P316 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: [Ashtabula County, Ohio, hasCity, Ashtabula, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashtabula, Ohio
Context triple: [Ashtabula County, Ohio, hasCity, 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. Bucyrus, Ohio
    Bucyrus, Ohio is a small Midwestern city in north-central Ohio known historically for manufacturing and its role as a local commercial and community hub.
  • D. Johnstown, Ohio
    Johnstown, Ohio is a small village in central Ohio known for its close-knit community and location within the Columbus metropolitan area.
  • E. Lorain
    Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a694f19081909117bc9b10ca8a83 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:52 p.m.