Triple

T27482872
Position Surface form Disambiguated ID Type / Status
Subject Minooka Park E693648 entity
Predicate operatedBy P86 FINISHED
Object Waukesha County Parks and Land Use
Waukesha County Parks and Land Use is the county government department responsible for managing parks, natural resources, and land-use planning throughout Waukesha County, Wisconsin.
E1776166 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: Waukesha County Parks and Land Use | Statement: [Minooka Park, operatedBy, Waukesha County Parks and Land Use]
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: Waukesha County Parks and Land Use
Triple: [Minooka Park, operatedBy, Waukesha County Parks and Land Use]
Generated description
Waukesha County Parks and Land Use is the county government department responsible for managing parks, natural resources, and land-use planning throughout Waukesha County, Wisconsin.

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_69ef5381f2648190a2392d0fab833095 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62e494fc88190bbbaff22bab99623 completed May 2, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbecb7a48190a0a8112af3fb1ebc completed May 24, 2026, 8:50 a.m.
NEDg Description generation batch_6a12bd0d87a88190a617ee64551f7d93 completed May 24, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_6a12be3a604c8190887660a427cd9f2f completed May 24, 2026, 9 a.m.
Created at: April 27, 2026, 1 p.m.