Triple

T10218709
Position Surface form Disambiguated ID Type / Status
Subject Minnesota's 8th congressional district E242517 entity
Predicate containsCity P294 FINISHED
Object Brainerd E101943 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: Brainerd | Statement: [Minnesota's 8th congressional district, containsCity, Brainerd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brainerd
Context triple: [Minnesota's 8th congressional district, containsCity, Brainerd]
  • A. Brainerd chosen
    Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
  • B. Fridley
    Fridley is a suburban city in Anoka County, Minnesota, located just north of Minneapolis along the Mississippi River.
  • C. Hibbing
    Hibbing is a city in northern Minnesota known for its rich iron mining history and as the hometown of musician Bob Dylan.
  • D. 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.
  • E. Wayzata
    Wayzata is a small, affluent lakeside city in Minnesota known for its location on the shores of Lake Minnetonka and its upscale residential and recreational character.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa6fcf6c81908a589585bbd48ab8 completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a81e72ec8190a30121fc1c86641e completed April 8, 2026, 7:10 p.m.
Created at: April 6, 2026, 11:08 a.m.