Triple

T15013854
Position Surface form Disambiguated ID Type / Status
Subject Winnebago County, Wisconsin E377906 entity
Predicate hasTown P847 FINISHED
Object Omro (town), Wisconsin E1132445 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: Omro (town), Wisconsin | Statement: [Winnebago County, Wisconsin, hasTown, Omro (town), Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omro (town), Wisconsin
Context triple: [Winnebago County, Wisconsin, hasTown, Omro (town), Wisconsin]
  • A. Omro, Wisconsin chosen
    Omro, Wisconsin is a small city in east-central Wisconsin situated along the Fox River, known for its historic downtown and community-oriented rural character.
  • B. Oma, Wisconsin
    Oma, Wisconsin is a small unincorporated community and town located in Iron County in the northern part of the state.
  • C. Wilmot, Wisconsin
    Wilmot, Wisconsin is a small unincorporated community in Kenosha County known for its proximity to the Wilmot Mountain ski and snowboard area.
  • D. Farmington, Wisconsin
    Farmington, Wisconsin is a rural town in Washington County known for its agricultural landscape and small-community character in southeastern Wisconsin.
  • E. Lindina, Wisconsin
    Lindina, Wisconsin is a small rural 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 (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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dce8240819097efddb43b79ad4b completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:55 a.m.