Triple

T15227853
Position Surface form Disambiguated ID Type / Status
Subject Minnesota Marine Art Museum E363921 entity
Predicate regionServed P82 FINISHED
Object Winona E74024 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: Winona | Statement: [Minnesota Marine Art Museum, regionServed, Winona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winona
Context triple: [Minnesota Marine Art Museum, regionServed, Winona]
  • A. Winona chosen
    Winona is a historic river city in southeastern Minnesota known for its Mississippi River bluffs, cultural festivals, and regional educational institutions.
  • B. Willemina
    Willemina is a feminine given name of Dutch origin, historically borne by figures such as Willemina Jacoba van Gogh, the sister of painter Vincent van Gogh.
  • C. Lyonne
    Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
  • D. Carola
    Carola is a Swedish pop singer best known for winning the Eurovision Song Contest in 1991 with the song "Fångad av en stormvind."
  • E. Carola
    Carola is a Dutch politician known for serving as Deputy Prime Minister and Minister of Agriculture, Nature and Food Quality in the Netherlands.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078ccdf48190b34eabd9e24e45a1 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef89197988190891920bfbacc0193 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:12 a.m.