Triple

T20002148
Position Surface form Disambiguated ID Type / Status
Subject Chenango River E494358 entity
Predicate flowsThrough P225 FINISHED
Object Madison County 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: Madison County | Statement: [Chenango River, flowsThrough, Madison County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madison County
Context triple: [Chenango River, flowsThrough, 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 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.
  • 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.

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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a2e34481908a495cc5d077c41f completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.