Triple

T15574680
Position Surface form Disambiguated ID Type / Status
Subject Hixon Forest E374337 entity
Predicate city P40 FINISHED
Object La Crosse E76843 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 | Statement: [Hixon Forest, city, La Crosse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Crosse
Context triple: [Hixon Forest, city, La Crosse]
  • A. La Crosse chosen
    La Crosse is a mid-sized city in western Wisconsin known for its location along the Mississippi River, historic downtown, and regional educational and healthcare institutions.
  • B. Eau Claire
    Eau Claire is a central riverside neighborhood in Calgary, Alberta, known for its mixed-use developments, public plazas, and proximity to the Bow River and downtown core.
  • C. Kenosha
    Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
  • D. Eau Claire, Wisconsin
    Eau Claire, Wisconsin is a small city in western Wisconsin known for its vibrant indie music scene and as the hometown of the band Bon Iver.
  • E. Duluth
    Duluth is a major port city in northeastern Minnesota known for its shipping industry, scenic Lake Superior shoreline, and role as a regional transportation hub.
  • 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_69ffe4670e8881908bc9f3879ba208ba completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:10 a.m.