Triple

T10218379
Position Surface form Disambiguated ID Type / Status
Subject Frank Hibbing E242507 entity
Predicate familyName P18 FINISHED
Object Hibbing E282060 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: Hibbing | Statement: [Frank Hibbing, familyName, Hibbing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hibbing
Context triple: [Frank Hibbing, familyName, Hibbing]
  • A. Hibbing chosen
    Hibbing is a city in northern Minnesota known for its rich iron mining history and as the hometown of musician Bob Dylan.
  • 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. Hamburg, Minnesota
    Hamburg, Minnesota is a small rural city located in Carver County in the south-central part of the state.
  • D. Brainerd
    Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
  • E. Mankato, Minnesota
    Mankato, Minnesota is a city in south-central Minnesota known historically as the site of the largest mass execution in U.S. history following the Dakota War of 1862.
  • 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, 11:07 a.m.