Triple

T7848157
Position Surface form Disambiguated ID Type / Status
Subject Waukesha County, Wisconsin E181970 entity
Predicate hasPark P105 FINISHED
Object Minooka Park E693648 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: Minooka Park | Statement: [Waukesha County, Wisconsin, hasPark, Minooka Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minooka Park
Context triple: [Waukesha County, Wisconsin, hasPark, Minooka Park]
  • A. Minooka Park chosen
    Minooka Park is a popular county park in Waukesha, Wisconsin, known for its wooded trails, swimming beach, and year-round outdoor recreation.
  • B. Hirakata Park
    Hirakata Park is a long-running amusement park in Hirakata, Osaka Prefecture, Japan, featuring a variety of rides, seasonal events, and family-oriented attractions.
  • C. Shukugawa Park
    Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
  • D. Ohori Park
    Ohori Park is a large, scenic public park in Fukuoka City, Japan, known for its central pond, walking paths, and traditional Japanese garden.
  • E. Okubo Park
    Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e7f5988190808ae4dcfbc06991 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5afbb02481909008eb295c4825c1 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:49 p.m.