Triple

T11588997
Position Surface form Disambiguated ID Type / Status
Subject Houston County, Minnesota E274829 entity
Predicate contains P35 FINISHED
Object Houston, Minnesota E935175 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: Houston, Minnesota | Statement: [Houston County, Minnesota, contains, Houston, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houston, Minnesota
Context triple: [Houston County, Minnesota, contains, Houston, Minnesota]
  • A. Houston, Minnesota chosen
    Houston, Minnesota is a small city in southeastern Minnesota known as a gateway to outdoor recreation in the Root River Valley.
  • B. Hamburg, Minnesota
    Hamburg, Minnesota is a small rural city located in Carver County in the south-central part of the state.
  • C. 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.
  • D. Austin, Minnesota
    Austin, Minnesota is a small city in southern Minnesota known for being the home of Hormel Foods and the SPAM Museum.
  • E. Minneapolis
    Minneapolis is a major city in Minnesota known for its large and historically significant Norwegian American community, vibrant arts scene, and numerous lakes.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89463360c8190b91228c46bfe2e5f completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69f48a027dec8190aea103f0974186b0 completed May 1, 2026, 11:09 a.m.
Created at: April 8, 2026, 9:38 p.m.