Triple

T14984878
Position Surface form Disambiguated ID Type / Status
Subject Potawatomi State Park E373674 entity
Predicate partOf P40 FINISHED
Object Wisconsin state park system
The Wisconsin state park system is a network of publicly managed parks, forests, trails, and recreation areas across Wisconsin that protect natural resources and provide outdoor recreation opportunities.
E1131725 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: Wisconsin state park system | Statement: [Potawatomi State Park, partOf, Wisconsin state park system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wisconsin state park system
Context triple: [Potawatomi State Park, partOf, Wisconsin state park system]
  • A. Indiana state park system
    The Indiana state park system is a network of publicly protected natural and recreational areas across Indiana that preserve the state’s landscapes and provide opportunities for outdoor activities such as hiking, camping, and wildlife viewing.
  • B. Iowa state park system
    The Iowa state park system is a network of publicly managed parks and recreation areas across Iowa that protect natural resources and provide outdoor activities such as camping, hiking, fishing, and boating.
  • C. Michigan state park system
    The Michigan state park system is a network of publicly managed parks and recreation areas across Michigan that protect natural and cultural resources while providing outdoor activities such as camping, hiking, and beach access.
  • D. Wisconsin State Forest system
    The Wisconsin State Forest system is a network of publicly managed forest lands across Wisconsin dedicated to conservation, recreation, and sustainable resource use.
  • E. Minnesota state park system
    The Minnesota state park system is a network of publicly managed parks and recreation areas across Minnesota that protect natural and cultural resources while providing outdoor recreation opportunities.
  • 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: Wisconsin state park system
Triple: [Potawatomi State Park, partOf, Wisconsin state park system]
Generated description
The Wisconsin state park system is a network of publicly managed parks, forests, trails, and recreation areas across Wisconsin that protect natural resources and provide outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wisconsin state park system
Target entity description: The Wisconsin state park system is a network of publicly managed parks, forests, trails, and recreation areas across Wisconsin that protect natural resources and provide outdoor recreation opportunities.
  • A. Indiana state park system
    The Indiana state park system is a network of publicly protected natural and recreational areas across Indiana that preserve the state’s landscapes and provide opportunities for outdoor activities such as hiking, camping, and wildlife viewing.
  • B. Iowa state park system
    The Iowa state park system is a network of publicly managed parks and recreation areas across Iowa that protect natural resources and provide outdoor activities such as camping, hiking, fishing, and boating.
  • C. Michigan state park system
    The Michigan state park system is a network of publicly managed parks and recreation areas across Michigan that protect natural and cultural resources while providing outdoor activities such as camping, hiking, and beach access.
  • D. Wisconsin State Forest system
    The Wisconsin State Forest system is a network of publicly managed forest lands across Wisconsin dedicated to conservation, recreation, and sustainable resource use.
  • E. Minnesota state park system
    The Minnesota state park system is a network of publicly managed parks and recreation areas across Minnesota that protect natural and cultural resources while providing outdoor recreation opportunities.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6ff4a7c8190ab7554f3a1a09b67 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9694aa688190bbecb645c49e795e completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe99553b3c8190b6bf3e133a2772fa completed May 9, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69fe99a856e48190a44548d756737164 completed May 9, 2026, 2:19 a.m.
Created at: April 10, 2026, 2:52 a.m.