Triple

T6679171

Position	Surface form	Disambiguated ID	Type / Status
Subject	Grand Haven State Park	`E151933`	entity
Predicate	partOf	`P40`	FINISHED
Object	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.	`E611638`	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: Michigan state park system | Statement: [Grand Haven State Park, partOf, Michigan state park system]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Michigan state park system
Context triple: [Grand Haven State Park, partOf, Michigan 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 Department of Natural Resources
The Michigan Department of Natural Resources is a state agency responsible for conserving and managing Michigan’s natural resources, state parks, wildlife, and outdoor recreation.
D. Maryland state park system
The Maryland state park system is a network of publicly managed natural, recreational, and historic areas across Maryland that provide outdoor recreation, conservation, and educational opportunities.
E. Pennsylvania state park system
The Pennsylvania state park system is a network of publicly owned parks across Pennsylvania that preserves natural, cultural, and recreational resources while providing outdoor activities such as hiking, camping, and boating.
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: Michigan state park system
Triple: [Grand Haven State Park, partOf, Michigan state park system]

Generated description

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.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Michigan state park system
Target entity description: 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.

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 Department of Natural Resources
The Michigan Department of Natural Resources is a state agency responsible for conserving and managing Michigan’s natural resources, state parks, wildlife, and outdoor recreation.
D. Maryland state park system
The Maryland state park system is a network of publicly managed natural, recreational, and historic areas across Maryland that provide outdoor recreation, conservation, and educational opportunities.
E. Pennsylvania state park system
The Pennsylvania state park system is a network of publicly owned parks across Pennsylvania that preserves natural, cultural, and recreational resources while providing outdoor activities such as hiking, camping, and boating.
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_69c687f830bc81909eb8b04dbb8450b1`	completed	March 27, 2026, 1:36 p.m.
NER	Named-entity recognition	`batch_69c6b0f6813c8190906f619b4276a232`	completed	March 27, 2026, 4:31 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69c6f7a9fda4819096d4bd3e8133cecb`	completed	March 27, 2026, 9:33 p.m.
NEDg	Description generation	`batch_69c6f8b1e1f48190bc9058a8a21a4a62`	completed	March 27, 2026, 9:37 p.m.
NED2	Entity disambiguation (via description)	`batch_69c6f9441d74819098f0639a29fdeb5e`	completed	March 27, 2026, 9:40 p.m.

Created at: March 27, 2026, 2:03 p.m.