Triple

T15481359
Position Surface form Disambiguated ID Type / Status
Subject Clayton County, Iowa E376924 entity
Predicate hasCity P316 FINISHED
Object Monona, Iowa E919217 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: Monona, Iowa | Statement: [Clayton County, Iowa, hasCity, Monona, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monona, Iowa
Context triple: [Clayton County, Iowa, hasCity, Monona, Iowa]
  • A. Monona, Iowa chosen
    Monona, Iowa is a small city in Clayton County known for its rural Midwestern character and historic roots in northeastern Iowa.
  • B. Monona, Wisconsin
    Monona, Wisconsin is a small suburban city located on the shores of Lake Monona just southeast of downtown Madison.
  • C. Kalona, Iowa
    Kalona, Iowa is a small city in southeastern Iowa known for its large Amish and Mennonite communities and rich agricultural heritage.
  • D. Hamlin, Iowa
    Hamlin, Iowa is a small unincorporated rural community located in Audubon County in western Iowa.
  • E. Washington, Iowa
    Washington, Iowa is a small city in southeastern Iowa known for its historic downtown, agricultural surroundings, and role as a local commercial and cultural hub.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3293dc819097f9e56963c333ee completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:34 a.m.