Triple

T26475658
Position Surface form Disambiguated ID Type / Status
Subject Pentwater, Michigan E666024 entity
Predicate hasNearbyProtectedArea P855 FINISHED
Object Charles Mears State Park
Charles Mears State Park is a public recreation area on Lake Michigan known for its sandy beach, dunes, and campground near the village of Pentwater.
E1855858 NE FINISHED

How this triple was built (2 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: Charles Mears State Park | Statement: [Pentwater, Michigan, hasNearbyProtectedArea, Charles Mears State Park]
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: Charles Mears State Park
Triple: [Pentwater, Michigan, hasNearbyProtectedArea, Charles Mears State Park]
Generated description
Charles Mears State Park is a public recreation area on Lake Michigan known for its sandy beach, dunes, and campground near the village of Pentwater.

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_69ee883f80dc819090e311b022b78e02 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f612cce1348190861a76259a2b9c85 completed May 2, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25698b69988190a1a625132d2ccff0 completed June 7, 2026, 12:52 p.m.
NEDg Description generation batch_6a256dc27c708190b74c697d4eb1f0a2 completed June 7, 2026, 1:10 p.m.
NED2 Entity disambiguation (via description) batch_6a257303ae008190aad081788fc11925 completed June 7, 2026, 1:32 p.m.
Created at: April 27, 2026, 12:23 a.m.