Triple

T4435831
Position Surface form Disambiguated ID Type / Status
Subject southeastern South Dakota E95645 entity
Predicate hasCountySeat P383 FINISHED
Object Vermillion, South Dakota E327427 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: Vermillion, South Dakota | Statement: [southeastern South Dakota, hasCountySeat, Vermillion, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vermillion, South Dakota
Context triple: [southeastern South Dakota, hasCountySeat, Vermillion, South Dakota]
  • A. Vermillion, South Dakota chosen
    Vermillion, South Dakota is a small city in southeastern South Dakota best known as the home of the University of South Dakota and its flagship campus.
  • B. Columbia, South Dakota
    Columbia, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
  • C. Madison, South Dakota
    Madison, South Dakota is a small city in eastern South Dakota known as a regional hub for education, technology, and agriculture.
  • D. 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.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35589f8608190b0820d36beaacf44 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b67baa14648190811970a45dd0d185 completed March 15, 2026, 9:28 a.m.
Created at: March 12, 2026, 11:31 p.m.