Triple

T11196863
Position Surface form Disambiguated ID Type / Status
Subject Dubna E264944 entity
Predicate twinnedWith P1072 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: [Dubna, twinnedWith, La Crosse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Crosse
Context triple: [Dubna, twinnedWith, 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c082fc8190866c574f698b59ef completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4840640688190a5b3c36883b8fce8 completed April 19, 2026, 7:28 a.m.
Created at: April 8, 2026, 9:29 p.m.