Triple

T16630965
Position Surface form Disambiguated ID Type / Status
Subject District 5 commissioner E404076 entity
Predicate jurisdiction P82 FINISHED
Object Madison County unclear NED1 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: [District 5 commissioner, jurisdiction, Madison County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madison County
Context triple: [District 5 commissioner, jurisdiction, 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 county in central New York State known for its rural communities, agriculture, and small historic towns such as Oneida and Cazenovia.
  • C. Madison County
    Madison County is a rural county in northern Florida known for its agricultural landscape, small-town communities, and historic Southern character.
  • D. Madison County
    Madison County is a rural county in western Montana known for its mountainous landscapes, outdoor recreation, and historic mining and ranching communities.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e5d4448190bfb1b6157bbe5285 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0179313470819090351e937ea34701 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:17 a.m.