Triple

T13844742
Position Surface form Disambiguated ID Type / Status
Subject Madison County, Ohio E332768 entity
Predicate hasLargestCity P235 FINISHED
Object London, 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: London, Ohio | Statement: [Madison County, Ohio, hasLargestCity, London, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London, Ohio
Context triple: [Madison County, Ohio, hasLargestCity, London, Ohio]
  • A. London, Ohio chosen
    London, Ohio is a small city in Madison County that serves as a local commercial and administrative center within the Columbus metropolitan area.
  • 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. Lexington, Ohio
    Lexington, Ohio is a small village in north-central Ohio known for its community-oriented atmosphere and proximity to the Mid-Ohio Sports Car Course.
  • D. Lisbon, Ohio
    Lisbon, Ohio is a small historic village in northeastern Ohio known for being one of the state's earliest settled communities and a center of local government and commerce in Columbiana County.
  • E. Oxford, Ohio
    Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
Created at: April 9, 2026, 10:13 p.m.