Triple

T2711811
Position Surface form Disambiguated ID Type / Status
Subject Cream City E59878 entity
Predicate alsoKnownAs P39 FINISHED
Object Cream City of the Lakes E59878 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: Cream City of the Lakes | Statement: [Cream City, alsoKnownAs, Cream City of the Lakes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cream City of the Lakes
Context triple: [Cream City, alsoKnownAs, Cream City of the Lakes]
  • A. City of Lakes
    City of Lakes is a popular nickname for Minneapolis, highlighting its many urban lakes and waterfronts.
  • B. Queen City of the Trails
    Queen City of the Trails is a nickname for Independence, Missouri, reflecting its historic role as a major starting point for westward pioneer trails such as the Oregon, Santa Fe, and California Trails.
  • C. Lakeside
    Lakeside is a small settlement in England’s Lake District, known as a lakeside stop and tourist base on the southern shore of Windermere.
  • D. Lakeside
    Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
  • E. Cream City chosen
    Cream City is a nickname for Milwaukee, Wisconsin, derived from the distinctive light-colored cream brick used in many of its historic buildings.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda78c4f08190bb1217f08198c4cc completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf83e37c8190b7a7815f8acf3a4b completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.