Triple

T2955922
Position Surface form Disambiguated ID Type / Status
Subject Tony Evers E79929 entity
Predicate isFrom P11553 FINISHED
Object Plymouth, Wisconsin E315435 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: Plymouth, Wisconsin | Statement: [Tony Evers, isFrom, Plymouth, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plymouth, Wisconsin
Context triple: [Tony Evers, isFrom, Plymouth, Wisconsin]
  • A. Plymouth, Wisconsin chosen
    Plymouth, Wisconsin is a small city in Sheboygan County known for its dairy industry heritage and as the birthplace of Wisconsin Governor Tony Evers.
  • B. Wausau, Wisconsin
    Wausau, Wisconsin is a small city in north-central Wisconsin known for its significant Hmong American community, outdoor recreation, and regional economic and cultural role.
  • C. Burlington, Wisconsin
    Burlington, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, chocolate festival, and location along the Fox River.
  • D. Bayfield, Wisconsin
    Bayfield, Wisconsin is a small lakeside city on the shores of Lake Superior known as the gateway to the Apostle Islands National Lakeshore.
  • E. Marinette, Wisconsin
    Marinette, Wisconsin is a small industrial city in northeastern Wisconsin on the shore of Green Bay, known historically for shipbuilding and its location opposite Menominee, Michigan.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99286ac8819084f02fbb0a1616d3 completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e229afc8190ae634dbfb3ac4313 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:57 p.m.