Triple

T3376598
Position Surface form Disambiguated ID Type / Status
Subject Hennepin County E71080 entity
Predicate containsCity P294 FINISHED
Object Robbinsdale E327690 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: Robbinsdale | Statement: [Hennepin County, containsCity, Robbinsdale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robbinsdale
Context triple: [Hennepin County, containsCity, Robbinsdale]
  • A. Robbinsdale chosen
    Robbinsdale is a small suburban city in Hennepin County, Minnesota, located just northwest of Minneapolis.
  • B. Eden Prairie
    Eden Prairie is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential communities, parks, and corporate offices.
  • 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. 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. Burnsville, Minnesota
    Burnsville, Minnesota is a suburban city in the Minneapolis–Saint Paul metropolitan area known for its residential communities, commercial centers, and proximity to major transportation routes.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e776508190bc123fb17b36f062 completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3739a043c8190b5da4bd14e278fcb completed March 13, 2026, 2:16 a.m.
Created at: March 8, 2026, 3:13 p.m.