Triple

T16242753
Position Surface form Disambiguated ID Type / Status
Subject De Pere, Wisconsin E394293 entity
Predicate adjacentTo P224 FINISHED
Object Lawrence, Wisconsin
Lawrence, Wisconsin is a small town in Brown County known as a suburban community within the Green Bay metropolitan area.
 E1229151 NE FINISHED

How this triple was built (4 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: Lawrence, Wisconsin | Statement: [De Pere, Wisconsin, adjacentTo, Lawrence, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawrence, Wisconsin
Context triple: [De Pere, Wisconsin, adjacentTo, Lawrence, Wisconsin]
  • A. Lyndon, Wisconsin
    Lyndon, Wisconsin is a small rural community located within Juneau County in the central part of the state.
  • B. La Farge, Wisconsin
    La Farge, Wisconsin is a small village in Vernon County known for its scenic setting in the Driftless Area and as the headquarters of the organic food company Organic Valley.
  • C. Parkland, Wisconsin
    Parkland, Wisconsin is a small rural town located in Douglas County in the northwestern part of the state.
  • D. Fairchild, Wisconsin
    Fairchild, Wisconsin is a small rural village in western Wisconsin known for its agricultural surroundings and close-knit community.
  • E. Rock Island, Wisconsin
    Rock Island, Wisconsin is a small, remote island in Lake Michigan known for its state park, historic lighthouse, and lack of cars or modern development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lawrence, Wisconsin
Triple: [De Pere, Wisconsin, adjacentTo, Lawrence, Wisconsin]
Generated description
Lawrence, Wisconsin is a small town in Brown County known as a suburban community within the Green Bay metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lawrence, Wisconsin
Target entity description: Lawrence, Wisconsin is a small town in Brown County known as a suburban community within the Green Bay metropolitan area.
  • A. Lyndon, Wisconsin
    Lyndon, Wisconsin is a small rural community located within Juneau County in the central part of the state.
  • B. La Farge, Wisconsin
    La Farge, Wisconsin is a small village in Vernon County known for its scenic setting in the Driftless Area and as the headquarters of the organic food company Organic Valley.
  • C. Parkland, Wisconsin
    Parkland, Wisconsin is a small rural town located in Douglas County in the northwestern part of the state.
  • D. Fairchild, Wisconsin
    Fairchild, Wisconsin is a small rural village in western Wisconsin known for its agricultural surroundings and close-knit community.
  • E. Rock Island, Wisconsin
    Rock Island, Wisconsin is a small, remote island in Lake Michigan known for its state park, historic lighthouse, and lack of cars or modern development.
  • F. None of above. chosen

Provenance (5 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560060c8190ace4f4c0bd0d886d completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091855ab48190a14ad7df9cd806ad completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00926f74548190b9719afb5eb10a14 completed May 10, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_6a0092fabb3c819092193bf5d8b93616 completed May 10, 2026, 2:15 p.m.
Created at: April 10, 2026, 5:04 a.m.