Triple

T21994887
Position Surface form Disambiguated ID Type / Status
Subject Clark County, Wisconsin E543178 entity
Predicate contains P35 FINISHED
Object Abbotsford, 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: Abbotsford, Wisconsin | Statement: [Clark County, Wisconsin, contains, Abbotsford, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbotsford, Wisconsin
Context triple: [Clark County, Wisconsin, contains, Abbotsford, Wisconsin]
  • A. Abbotsford, Wisconsin chosen
    Abbotsford, Wisconsin is a small city in central Wisconsin known for its agricultural surroundings and role as a local commercial hub.
  • B. Waterford, Wisconsin
    Waterford, Wisconsin is a small village in Racine County known for its rural charm, proximity to the Fox River, and tight-knit community.
  • C. Auburn, Wisconsin
    Auburn, Wisconsin is a small rural town located in Fond du Lac County in the U.S. state of Wisconsin.
  • D. Ashford, Wisconsin
    Ashford, Wisconsin is a small rural town located in Fond du Lac County in the east-central region of the state.
  • E. Argonne, Wisconsin
    Argonne, Wisconsin is a small unincorporated community and town located in Forest County in northern Wisconsin, known for its rural setting and proximity to Northwoods forests and outdoor recreation.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.