Triple

T21491347
Position Surface form Disambiguated ID Type / Status
Subject Robert M. La Follette E530242 entity
Predicate placeOfBirth P1 FINISHED
Object Primrose, Wisconsin 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: Primrose, Wisconsin | Statement: [Robert M. La Follette, placeOfBirth, Primrose, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Primrose, Wisconsin
Context triple: [Robert M. La Follette, placeOfBirth, Primrose, Wisconsin]
  • A. Primrose, Wisconsin chosen
    Primrose, Wisconsin is a small rural town in Dane County best known as the birthplace of influential Progressive-era politician Robert M. La Follette.
  • B. Bloomer, Wisconsin
    Bloomer, Wisconsin is a small city in northwestern Wisconsin known for its rural community character and local agricultural roots.
  • C. Palmyra, Wisconsin
    Palmyra, Wisconsin is a small village in southeastern Wisconsin known for its rural character and proximity to the Kettle Moraine State Forest.
  • D. St. Germain, Wisconsin
    St. Germain, Wisconsin is a small Northwoods town known for its lakes, outdoor recreation, and tourism in northern Wisconsin.
  • E. Lemonweir, Wisconsin
    Lemonweir, Wisconsin is a small unincorporated community located in Juneau County in the central part of the state.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3ba2fc81909638bbb3e1d92ea5 completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.