Triple

T13023340
Position Surface form Disambiguated ID Type / Status
Subject Buchanan County, Iowa E326231 entity
Predicate hasCity P316 FINISHED
Object Jesup, Iowa E289319 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: Jesup, Iowa | Statement: [Buchanan County, Iowa, hasCity, Jesup, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesup, Iowa
Context triple: [Buchanan County, Iowa, hasCity, Jesup, Iowa]
  • A. Jesup, Iowa chosen
    Jesup, Iowa is a small rural city in northeastern Iowa known for its close-knit community and location spanning Black Hawk and Buchanan counties.
  • B. Janesville, Iowa
    Janesville, Iowa is a small Midwestern city located in northeastern Iowa along the Cedar River.
  • C. Jefferson, Iowa
    Jefferson, Iowa is a small city in Greene County known as the birthplace of pioneering American pollster George Gallup.
  • D. Mineola, Iowa
    Mineola, Iowa is a small unincorporated rural community located in southwestern Iowa.
  • E. Johnston, Iowa
    Johnston, Iowa is a suburban city in the Des Moines metropolitan area known for being the headquarters of the Iowa National Guard and home to several major employers and residential communities.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ed05e9c8190a4f208662bca0602 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7cfe24819096e8f4cd496a6fd7 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 8:52 p.m.