Triple

T15797383
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the Wisconsin State Assembly E383015 entity
Predicate location P40 FINISHED
Object Madison, Wisconsin E11896 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, Wisconsin | Statement: [Speaker of the Wisconsin State Assembly, location, Madison, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madison, Wisconsin
Context triple: [Speaker of the Wisconsin State Assembly, location, Madison, Wisconsin]
  • A. Madison, Wisconsin, United States chosen
    Madison, Wisconsin, United States is the capital city of Wisconsin, known for its major research university, vibrant cultural scene, and numerous lakes.
  • B. Washington, Wisconsin
    Washington, Wisconsin is a small town located in Eau Claire County in the western part of the U.S. state of Wisconsin.
  • C. Madison
    Madison is the codename for a later-generation Itanium processor variant developed by Intel for high-end server and enterprise computing.
  • D. Madison
    Madison is a suburban city in northern Alabama known for its proximity to Huntsville and its strong schools and residential communities.
  • E. Madison
    Madison is a small town that serves as one of the local communities within 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4def80481908f72733ce9133bc6 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff997e13e4819080a39f59172ab99c completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:48 a.m.