Triple

T21230471
Position Surface form Disambiguated ID Type / Status
Subject Germantown, Wisconsin E523198 entity
Predicate adjacentTo P224 FINISHED
Object Jackson, Wisconsin 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: Jackson, Wisconsin | Statement: [Germantown, Wisconsin, adjacentTo, Jackson, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jackson, Wisconsin
Context triple: [Germantown, Wisconsin, adjacentTo, Jackson, Wisconsin]
  • A. Jackson, Wisconsin chosen
    Jackson, Wisconsin is a small village in southeastern Wisconsin known as a residential community within the Milwaukee metropolitan area.
  • B. Jefferson, Wisconsin
    Jefferson, Wisconsin is a small city in southeastern Wisconsin that serves as the county seat of Jefferson County and lies at the confluence of the Rock and Crawfish rivers.
  • C. Washington, Wisconsin
    Washington, Wisconsin is a small town located in Eau Claire County in the western part of the U.S. state of Wisconsin.
  • D. Wilson, Wisconsin
    Wilson, Wisconsin is a small town located in Iron County in the northern part of the U.S. state of Wisconsin.
  • E. Janesville
    Janesville is a small unincorporated community in northeastern California known for its rural character and proximity to the Sierra Nevada and Lassen National Forest.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734af3d508190b3359d14496370b6 completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:45 p.m.