Triple

T10305962
Position Surface form Disambiguated ID Type / Status
Subject James River E241760 entity
Predicate hasCityOnBank P7935 FINISHED
Object Mitchell, South Dakota E711975 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: Mitchell, South Dakota | Statement: [James River, hasCityOnBank, Mitchell, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchell, South Dakota
Context triple: [James River, hasCityOnBank, Mitchell, South Dakota]
  • A. Mitchell, South Dakota chosen
    Mitchell, South Dakota is a small city in southeastern South Dakota best known as a regional agricultural center and home of the Corn Palace, a popular roadside attraction.
  • B. Madison, South Dakota
    Madison, South Dakota is a small city in eastern South Dakota known as a regional hub for education, technology, and agriculture.
  • C. Columbia, South Dakota
    Columbia, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
  • D. Kyle, South Dakota
    Kyle, South Dakota is a small community on the Pine Ridge Indian Reservation that serves as a local hub for the Oglala Lakota Nation.
  • E. Brandon, South Dakota
    Brandon, South Dakota is a small city in the Sioux Falls metropolitan area known as one of the fastest-growing communities in eastern South Dakota.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d309a4508190ad9de37171a64dba completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e4cdf8881908d613a0cb65fa0c2 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:46 a.m.