Triple

T9424485
Position Surface form Disambiguated ID Type / Status
Subject Paisley Park E227233 entity
Predicate city P40 FINISHED
Object Chanhassen E685308 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: Chanhassen | Statement: [Paisley Park, city, Chanhassen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chanhassen
Context triple: [Paisley Park, city, Chanhassen]
  • A. Chanhassen, Minnesota chosen
    Chanhassen, Minnesota is a suburban city in the Minneapolis–Saint Paul metropolitan area known for being the home of Prince’s Paisley Park and the Chanhassen Dinner Theatres.
  • B. Minnetonka
    Minnetonka is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential communities and proximity to Lake Minnetonka.
  • C. Brainerd
    Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
  • D. Hibbing
    Hibbing is a city in northern Minnesota known for its rich iron mining history and as the hometown of musician Bob Dylan.
  • E. St. Francis, Minnesota
    St. Francis, Minnesota is a small city in Anoka County known for its suburban-rural character and location along the Rum River in the northern Twin Cities metropolitan area.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c29b4348190b45103e9ebd82aa4 completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1223d3cd8819089fec4c895125049 completed April 4, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:49 p.m.