Triple

T15561533
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin State Highway 29 E371010 entity
Predicate passesThrough P225 FINISHED
Object Abbotsford, Wisconsin E1121035 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: Abbotsford, Wisconsin | Statement: [Wisconsin State Highway 29, passesThrough, Abbotsford, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbotsford, Wisconsin
Context triple: [Wisconsin State Highway 29, passesThrough, 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. Auburn, Wisconsin
    Auburn, Wisconsin is a small rural town located in Fond du Lac County in the U.S. state of Wisconsin.
  • C. Ashford, Wisconsin
    Ashford, Wisconsin is a small rural town located in Fond du Lac County in the east-central region of the state.
  • D. Addison, Wisconsin
    Addison, Wisconsin is a small rural town located in Washington County in southeastern Wisconsin, known for its agricultural landscape and quiet residential character.
  • E. Anderson, Wisconsin
    Anderson, Wisconsin is a small rural town located in Iron County in the northern part of the U.S. state of Wisconsin.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddb4c0c81909b3f4c75c91f7f3f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456821988190971539b683f6c656 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.