Triple

T16342045
Position Surface form Disambiguated ID Type / Status
Subject Cook County, Minnesota E396829 entity
Predicate contains P35 FINISHED
Object Eagle Mountain, Minnesota E884500 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: Eagle Mountain, Minnesota | Statement: [Cook County, Minnesota, contains, Eagle Mountain, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eagle Mountain, Minnesota
Context triple: [Cook County, Minnesota, contains, Eagle Mountain, Minnesota]
  • A. Eagle Mountain, Minnesota chosen
    Eagle Mountain, Minnesota is the highest natural point in the state of Minnesota, located within the remote wilderness of Cook County.
  • B. Vadnais Heights, Minnesota
    Vadnais Heights, Minnesota is a suburban city in the Twin Cities metropolitan area known for its residential neighborhoods, parks, and proximity to Saint Paul.
  • C. Eveleth, Minnesota
    Eveleth, Minnesota is a small city in northeastern Minnesota known historically for its iron mining industry and as part of the state’s Iron Range.
  • D. Eitzen, Minnesota
    Eitzen, Minnesota is a small city located in southeastern Minnesota near the Iowa border.
  • E. Eagle Township, Minnesota
    Eagle Township, Minnesota is a rural civil township located within Carlton County in the northeastern part of the state.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0ad510819082e440f5e2bceada completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035587c3481908448f75e5a56d2cb completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:07 a.m.