Triple

T21353113
Position Surface form Disambiguated ID Type / Status
Subject Richmond Lake E526538 entity
Predicate nearbyCity P350 FINISHED
Object Aberdeen, South Dakota NE NERFINISHED

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: Aberdeen, South Dakota | Statement: [Richmond Lake, nearbyCity, Aberdeen, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdeen, South Dakota
Context triple: [Richmond Lake, nearbyCity, Aberdeen, South Dakota]
  • A. Aberdeen, South Dakota chosen
    Aberdeen, South Dakota is a small city in northeastern South Dakota known as a regional commercial, educational, and cultural hub for the surrounding rural area.
  • 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. Parkston, South Dakota
    Parkston, South Dakota is a small city in southeastern South Dakota that serves as a local commercial and community hub for the surrounding rural area.
  • D. Salem, South Dakota
    Salem, South Dakota is a small city in eastern South Dakota that serves as the administrative and commercial hub of McCook County.
  • E. Arlington, South Dakota
    Arlington, South Dakota is a small rural city in eastern South Dakota known as the birthplace of Nobel Prize–winning economist Theodore W. Schultz.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bab98148190aa14d52fd37bc894 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:05 p.m.