Triple

T12422814
Position Surface form Disambiguated ID Type / Status
Subject Milwaukee County Parks E296818 entity
Predicate hasPart P35 FINISHED
Object Kletzsch Park E775754 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: Kletzsch Park | Statement: [Milwaukee County Parks, hasPart, Kletzsch Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kletzsch Park
Context triple: [Milwaukee County Parks, hasPart, Kletzsch Park]
  • A. Kletzsch Park chosen
    Kletzsch Park is a public recreational area in Glendale, Wisconsin, known for its scenic Milwaukee River views, trails, and outdoor amenities.
  • B. Kühnauer Park
    Kühnauer Park is a historic landscaped park in Dessau, Germany, that forms part of the UNESCO-listed Garden Kingdom of Dessau-Wörlitz.
  • C. Valkhof Park
    Valkhof Park is a historic public park in Nijmegen, Netherlands, known for its scenic setting overlooking the Waal River and its proximity to ancient Roman and medieval ruins.
  • D. Devendorf Park
    Devendorf Park is a small, centrally located public park in downtown Carmel-by-the-Sea, California, known for its lawn, trees, and role as a community gathering spot for local events.
  • E. U Kleistpark
    U Kleistpark is a Berlin U-Bahn station on line U7 located in the Schöneberg district.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556495208190abd2e3e5aaac57a5 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:55 p.m.