Triple

T35628733
Position Surface form Disambiguated ID Type / Status
Subject Wirth Golf Course E1029528 entity
Predicate ownedBy P347 FINISHED
Object Minneapolis Park and Recreation Board
The Minneapolis Park and Recreation Board is an independent, elected body that oversees and manages the extensive park, trail, and recreation system in the city of Minneapolis, Minnesota.
E2141419 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: Minneapolis Park and Recreation Board | Statement: [Wirth Golf Course, ownedBy, Minneapolis Park and Recreation Board]
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: Minneapolis Park and Recreation Board
Triple: [Wirth Golf Course, ownedBy, Minneapolis Park and Recreation Board]
Generated description
The Minneapolis Park and Recreation Board is an independent, elected body that oversees and manages the extensive park, trail, and recreation system in the city of Minneapolis, Minnesota.

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_69f76e07bb0c8190968ea2d836fc42c9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79f17362c8190b20e45051307b16c completed May 3, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38a4d26f1c8190860493ae43aa1323 completed June 22, 2026, 2:58 a.m.
NEDg Description generation batch_6a38a53e2e3481909af59554610d45be completed June 22, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_6a38a584e79c819089ac34d732d1f189 completed June 22, 2026, 3:01 a.m.
Created at: May 3, 2026, 4:05 p.m.