Triple

T1309850
Position Surface form Disambiguated ID Type / Status
Subject Plymouth, Michigan E27963 entity
Predicate hasPark P105 FINISHED
Object Kellogg Park E269404 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: Kellogg Park | Statement: [Plymouth, Michigan, hasPark, Kellogg Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kellogg Park
Context triple: [Plymouth, Michigan, hasPark, Kellogg Park]
  • A. Kellogg Park chosen
    Kellogg Park is a central public gathering space and community park located in downtown Plymouth, Michigan.
  • B. Meriken Park
    Meriken Park is a waterfront park and popular tourist spot in Kobe, Japan, known for its modern architecture, harbor views, and landmarks like the Kobe Port Tower and the Kobe Maritime Museum.
  • C. Douglas Park
    Douglas Park is a large historic public park on Chicago’s West Side known for its athletic facilities, green spaces, and role as a community and event hub.
  • D. Hurley Park
    Hurley Park is a public garden and recreational green space located in Salisbury, North Carolina.
  • E. Pioneer Park
    Pioneer Park is a large wooded public park and trail network on Mercer Island in Washington State, popular for hiking, horseback riding, and nature viewing.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c139551081908ad8eb670c621fff completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69af1f66dfd48190831981703142066a completed March 9, 2026, 7:28 p.m.
Created at: March 1, 2026, 7:51 p.m.