Triple

T18473779
Position Surface form Disambiguated ID Type / Status
Subject Lemonweir River E451371 entity
Predicate flowsThrough P225 FINISHED
Object New Lisbon, 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: New Lisbon, Wisconsin | Statement: [Lemonweir River, flowsThrough, New Lisbon, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Lisbon, Wisconsin
Context triple: [Lemonweir River, flowsThrough, New Lisbon, Wisconsin]
  • A. New Lisbon, Wisconsin chosen
    New Lisbon, Wisconsin is a small city in central Wisconsin known for its rural character and location along the Lemonweir River.
  • B. New London, Wisconsin
    New London, Wisconsin is a small city in east-central Wisconsin known for its Irish heritage celebrations and location along the Wolf and Embarrass Rivers.
  • C. Bristol, Wisconsin
    Bristol, Wisconsin is a small village in Kenosha County known for its rural character and location along major regional routes between Lake Geneva and the Chicago–Milwaukee corridor.
  • D. Lindina, Wisconsin
    Lindina, Wisconsin is a small rural community located in Juneau County in the central part of the state.
  • E. Watertown, Wisconsin
    Watertown, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, riverside setting, and early German-American heritage.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062387481909d4503fc963f9913 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.