Triple

T15079670
Position Surface form Disambiguated ID Type / Status
Subject Waunakee E380103 entity
Predicate hasPark P105 FINISHED
Object Ripp Park — NE ONDG

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: Ripp Park | Statement: [Waunakee, hasPark, Ripp Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ripp Park
Context triple: [Waunakee, hasPark, Ripp Park]
  • A. Reverchon Park
    Reverchon Park is a historic urban park in Dallas, Texas, known for its recreational facilities, green spaces, and proximity to the popular Katy Trail.
  • B. Rabkin Park
    Rabkin Park is a public recreational park located in Union Township in Union County, New Jersey.
  • C. Diethrick Park
    Diethrick Park is a historic baseball stadium in Jamestown, New York, known for hosting minor league and collegiate summer league teams.
  • D. Kessler Park
    Kessler Park is a historic, tree-lined residential neighborhood in the Oak Cliff area of Dallas, Texas, known for its rolling hills, green spaces, and early 20th-century homes.
  • E. Blackstone Boulevard Park
    Blackstone Boulevard Park is a linear urban park in Providence, Rhode Island, known for its tree-lined walking path and landscaped green space along Blackstone Boulevard.
  • 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: Ripp Park
Triple: [Waunakee, hasPark, Ripp Park]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ripp Park
Target entity description: Ripp Park is a community recreational park in Waunakee, Wisconsin, featuring open green spaces, sports fields, and facilities for local events and outdoor activities.
  • A. Reverchon Park
    Reverchon Park is a historic urban park in Dallas, Texas, known for its recreational facilities, green spaces, and proximity to the popular Katy Trail.
  • B. Rabkin Park
    Rabkin Park is a public recreational park located in Union Township in Union County, New Jersey.
  • C. Diethrick Park
    Diethrick Park is a historic baseball stadium in Jamestown, New York, known for hosting minor league and collegiate summer league teams.
  • D. Kessler Park
    Kessler Park is a historic, tree-lined residential neighborhood in the Oak Cliff area of Dallas, Texas, known for its rolling hills, green spaces, and early 20th-century homes.
  • E. Blackstone Boulevard Park
    Blackstone Boulevard Park is a linear urban park in Providence, Rhode Island, known for its tree-lined walking path and landscaped green space along Blackstone Boulevard.
  • F. None of above. chosen

Provenance (4 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff80008c88190840f94222f867478 completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01953c493c819084850ab8e7f0d261 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01963971248190b5e2b0b77eb7cbfe in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 3:03 a.m.