Triple

T15575049
Position Surface form Disambiguated ID Type / Status
Subject Town of Shelby E374346 entity
Predicate locatedIn P40 FINISHED
Object La Crosse County E414646 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: La Crosse County | Statement: [Town of Shelby, locatedIn, La Crosse County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Crosse County
Context triple: [Town of Shelby, locatedIn, La Crosse County]
  • A. La Crosse County chosen
    La Crosse County is a county in western Wisconsin known for the city of La Crosse, its Mississippi River bluffs, and a mix of urban, agricultural, and natural landscapes.
  • B. Winnebago County
    Winnebago County is a county in northern Illinois whose largest city and county seat is Rockford.
  • C. Winnebago County
    Winnebago County is a county in east-central Wisconsin that includes cities such as Oshkosh and Neenah along the western shore of Lake Winnebago.
  • D. Wright County
    Wright County is a county in central Minnesota known for its mix of growing suburban communities and rural landscapes west of the Minneapolis–Saint Paul metropolitan area.
  • E. Iowa County
    Iowa County is a county in eastern Iowa known for its rural landscapes, small towns, and historic communities such as the Amana Colonies.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2140388190a8df7b835eaa72ce completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00bafb761881908e7a891ef390982a completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 4:10 a.m.