Triple

T20471761
Position Surface form Disambiguated ID Type / Status
Subject Peggy Blumquist E502209 entity
Predicate setting P1957 FINISHED
Object Luverne, Minnesota NE NERFINISHED

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: Luverne, Minnesota | Statement: [Peggy Blumquist, setting, Luverne, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luverne, Minnesota
Context triple: [Peggy Blumquist, setting, Luverne, Minnesota]
  • A. Luverne, Minnesota chosen
    Luverne, Minnesota is a small city in the southwestern part of the state known for its historic downtown, prairie landscapes, and role as an agricultural and regional service center.
  • B. Luverne
    Luverne is a small city in southern Alabama that serves as the administrative and commercial hub of Crenshaw County.
  • C. Luverne Township, Minnesota
    Luverne Township, Minnesota is a rural civil township located in southwestern Minnesota within Rock County, characterized by its agricultural landscape and small-community setting.
  • D. Lansing, Minnesota
    Lansing, Minnesota is a small community located in Mower County in the southeastern part of the state.
  • E. Lindstrom, Minnesota
    Lindstrom, Minnesota is a small city in eastern Minnesota known for its strong Swedish heritage and lakeside community character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6996197908190b6570e2a7fd6cf67 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.