Triple

T5047508
Position Surface form Disambiguated ID Type / Status
Subject Sioux City metropolitan area E113702 entity
Predicate contains P35 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: [Sioux City metropolitan area, contains, Vermillion, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vermillion, South Dakota
Context triple: [Sioux City metropolitan area, contains, 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd740002b48190bc7aa176d734c589 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba5ec4308190aff8b1c4e494e0e2 completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:37 p.m.