Triple

T4042600
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Syracuse E83986 entity
Predicate territoryIncludes P285 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: [Diocese of Syracuse, territoryIncludes, Madison County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madison County
Context triple: [Diocese of Syracuse, territoryIncludes, Madison County]
  • A. Madison County
    Madison County is a county in central Mississippi, located in the Jackson metropolitan area and known for its rapidly growing suburban communities.
  • B. Madison County
    Madison County is a county in northern Alabama that includes the city of Huntsville, a major center for aerospace, defense, and technology.
  • 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 southwestern Iowa, best known for its historic covered bridges and as the setting of "The Bridges of Madison County."
  • E. Madison County
    Madison County is a rural county in northern Florida known for its agricultural landscape, small-town communities, and historic Southern character.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5b65c08190ba3f340ed18737f8 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be395356e88190ba6c4b228669e40c completed March 21, 2026, 6:23 a.m.
Created at: March 9, 2026, 3:37 p.m.