Triple

T15946292
Position Surface form Disambiguated ID Type / Status
Subject Oneida County E386691 entity
Predicate hasBorderWith P224 FINISHED
Object Madison County E277998 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: Madison County | Statement: [Oneida County, hasBorderWith, Madison County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madison County
Context triple: [Oneida County, hasBorderWith, Madison County]
  • A. Madison County
    Madison County is a county in northern Alabama that includes the city of Huntsville, a major center for aerospace, defense, and technology.
  • B. Madison County
    Madison County is a rural county in northern Florida known for its agricultural landscape, small-town communities, and historic Southern character.
  • C. Madison County chosen
    Madison County is a county in central New York State known for its rural communities, agriculture, and small historic towns such as Oneida and Cazenovia.
  • D. Madison County
    Madison County is a rural county in north-central Virginia known for its scenic Blue Ridge Mountains, including popular hiking destinations like Old Rag Mountain.
  • E. Madison County
    Madison County is a rural county in southwestern Iowa, best known for its historic covered bridges and as the setting of "The Bridges of Madison County."
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d1a4c08190afc325491ba38870 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00606823cc81908c461ef8764ebf41 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 4:53 a.m.