Triple

T7519632
Position Surface form Disambiguated ID Type / Status
Subject Florence County, Wisconsin E177734 entity
Predicate hasRiver P165 FINISHED
Object Pine River
Pine River is a freshwater river flowing through Florence County in northeastern Wisconsin, known for its forested surroundings and outdoor recreation opportunities.
E835308 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: Pine River | Statement: [Florence County, Wisconsin, hasRiver, Pine River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pine River
Context triple: [Florence County, Wisconsin, hasRiver, Pine River]
  • A. Pine River
    Pine River is a Canadian river that serves as a tributary of the Peace River in western Canada.
  • B. Pine River
    Pine River is a waterway located within Michigan’s remote and rugged Huron Mountains region.
  • C. Pine River
    Pine River is a natural watercourse flowing through Tasmania’s Cradle Mountain-Lake St Clair National Park, contributing to the park’s alpine and glacially carved landscape.
  • D. Lake River
    Lake River is a tributary waterway in southwestern Washington State that connects Vancouver Lake to the Columbia River.
  • E. Pickerel River
    The Pickerel River is a scenic waterway in Ontario, Canada, known for its interconnected lakes, boating routes, and popular fishing and cottage areas.
  • 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: Pine River
Triple: [Florence County, Wisconsin, hasRiver, Pine River]
Generated description
Pine River is a freshwater river flowing through Florence County in northeastern Wisconsin, known for its forested surroundings and outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pine River
Target entity description: Pine River is a freshwater river flowing through Florence County in northeastern Wisconsin, known for its forested surroundings and outdoor recreation opportunities.
  • A. Pine River
    Pine River is a waterway located within Michigan’s remote and rugged Huron Mountains region.
  • B. Pine River
    Pine River is a natural watercourse flowing through Tasmania’s Cradle Mountain-Lake St Clair National Park, contributing to the park’s alpine and glacially carved landscape.
  • C. Pine River
    Pine River is a Canadian river that serves as a tributary of the Peace River in western Canada.
  • D. Lake River
    Lake River is a tributary waterway in southwestern Washington State that connects Vancouver Lake to the Columbia River.
  • E. Pickerel River
    The Pickerel River is a scenic waterway in Ontario, Canada, known for its interconnected lakes, boating routes, and popular fishing and cottage areas.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f98ae48190946a18d7c2d33bcd completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2693f054081909fe58a252bd76226 completed April 5, 2026, 1:53 p.m.
NEDg Description generation batch_69d26db507e08190b0a94e6c3730ec19 completed April 5, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_69d26e108a588190b8cdb9a496d07a82 completed April 5, 2026, 2:13 p.m.
Created at: March 27, 2026, 3:46 p.m.