Triple

T3626170
Position Surface form Disambiguated ID Type / Status
Subject La Crosse E76843 entity
Predicate borderedBy P224 FINISHED
Object Town of Shelby
The Town of Shelby is a small municipality in La Crosse County, Wisconsin, known for its scenic bluffs, rural-residential character, and proximity to the city of La Crosse.
 E374346 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: Town of Shelby | Statement: [La Crosse, borderedBy, Town of Shelby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Town of Shelby
Context triple: [La Crosse, borderedBy, Town of Shelby]
  • A. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • B. Darbyville
    Darbyville is the former name of the city now known as Macclenny in Baker County, Florida.
  • C. Town of Webb
    The Town of Webb is a large, rural township in the Adirondack Mountains of northern New York State known for its forests, lakes, and tourism-centered communities.
  • D. Blairsville
    Blairsville is a small mountain town in northern Georgia known for its scenic Appalachian setting and outdoor recreation opportunities.
  • E. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • 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: Town of Shelby
Triple: [La Crosse, borderedBy, Town of Shelby]
Generated description
The Town of Shelby is a small municipality in La Crosse County, Wisconsin, known for its scenic bluffs, rural-residential character, and proximity to the city of La Crosse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Town of Shelby
Target entity description: The Town of Shelby is a small municipality in La Crosse County, Wisconsin, known for its scenic bluffs, rural-residential character, and proximity to the city of La Crosse.
  • A. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • B. Darbyville
    Darbyville is the former name of the city now known as Macclenny in Baker County, Florida.
  • C. Town of Webb
    The Town of Webb is a large, rural township in the Adirondack Mountains of northern New York State known for its forests, lakes, and tourism-centered communities.
  • D. Blairsville
    Blairsville is a small mountain town in northern Georgia known for its scenic Appalachian setting and outdoor recreation opportunities.
  • E. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2dc011c8190a6596f4b483fb078 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4332488d88190ac70846388b7ff13 completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b4378c5f3c81908b88def235abed9c completed March 13, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69b4382148c48190b75ee46182f4d817 completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:23 p.m.