Triple

T8709913
Position Surface form Disambiguated ID Type / Status
Subject Lake Sharpe E206747 entity
Predicate locatedNearCity P3883 FINISHED
Object Pierre, South Dakota E351169 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: Pierre, South Dakota | Statement: [Lake Sharpe, locatedNearCity, Pierre, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre, South Dakota
Context triple: [Lake Sharpe, locatedNearCity, Pierre, South Dakota]
  • A. Pierre, South Dakota chosen
    Pierre, South Dakota is the small capital city of South Dakota, located along the Missouri River in the central part of the state.
  • B. Parker, South Dakota
    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.
  • 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. Vermillion, South Dakota
    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.
  • E. Columbia, South Dakota
    Columbia, South Dakota is a small rural town located in northeastern South Dakota within Brown 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c3034708190b895eaf890d62198 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28c174008190bc2d43ca613e9a9e completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:35 p.m.