Triple

T18441153
Position Surface form Disambiguated ID Type / Status
Subject La Vergne, Tennessee E450528 entity
Predicate hasPark P105 FINISHED
Object Lake Forest Park NE NERFINISHED

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: Lake Forest Park | Statement: [La Vergne, Tennessee, hasPark, Lake Forest Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Forest Park
Context triple: [La Vergne, Tennessee, hasPark, Lake Forest Park]
  • A. Lake Forest Park, Washington chosen
    Lake Forest Park, Washington is a small, primarily residential suburban city in King County, located just north of Seattle.
  • B. Nicoma Park
    Nicoma Park is a small city in central Oklahoma known as a residential community within the Oklahoma City metropolitan area.
  • C. St. Louis Park
    St. Louis Park is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential neighborhoods and proximity to downtown Minneapolis.
  • D. City of Shoreline
    City of Shoreline is a suburban municipality in King County, Washington, located just north of Seattle along the Puget Sound.
  • E. Shoreview Park
    Shoreview Park is a public recreational park in Shoreline, Washington, featuring open green spaces, sports facilities, and walking trails for community use.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c10a86c819091196968b648fc92 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.