Triple

T13555310
Position Surface form Disambiguated ID Type / Status
Subject Turner County, South Dakota E323756 entity
Predicate seat P75 FINISHED
Object Parker, South Dakota E714809 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: Parker, South Dakota | Statement: [Turner County, South Dakota, seat, Parker, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parker, South Dakota
Context triple: [Turner County, South Dakota, seat, Parker, South Dakota]
  • A. Parker, South Dakota chosen
    Parker, South Dakota is a small rural city in Turner County that serves as the county seat and a local hub for the surrounding agricultural region.
  • B. Pierre, South Dakota
    Pierre, South Dakota is the small capital city of South Dakota, located along the Missouri River in the central part of the state.
  • C. St. Francis, South Dakota
    St. Francis, South Dakota is a small town located within the Rosebud Indian Reservation and is closely associated with the Sicangu Lakota (Rosebud Sioux) community.
  • D. Columbia, South Dakota
    Columbia, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
  • E. Veblen, South Dakota
    Veblen, South Dakota is a small rural city located in northeastern South Dakota within Marshall County.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcbbf408190a87f471d2732148b completed May 9, 2026, 5:02 a.m.
Created at: April 9, 2026, 9:47 p.m.