Triple

T12422197
Position Surface form Disambiguated ID Type / Status
Subject Day County, South Dakota E296802 entity
Predicate hasLargestCity P235 FINISHED
Object Webster, South Dakota E1044103 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: Webster, South Dakota | Statement: [Day County, South Dakota, hasLargestCity, Webster, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Webster, South Dakota
Context triple: [Day County, South Dakota, hasLargestCity, Webster, South Dakota]
  • A. Webster, South Dakota chosen
    Webster, South Dakota is a small city in northeastern South Dakota known as a local agricultural and service center for the surrounding rural region.
  • B. Warner, South Dakota
    Warner, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
  • C. Turton, South Dakota
    Turton, South Dakota is a small rural town located in northeastern South Dakota within Spink County.
  • D. Bowdle, South Dakota
    Bowdle, South Dakota is a small rural city in north-central South Dakota known for its agricultural community and historic prairie setting.
  • E. Wallace, South Dakota
    Wallace, South Dakota is a small rural town in Codington County best known as the birthplace of former U.S. Vice President Hubert H. Humphrey.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d78433081909ae0278e9e1abacb completed May 3, 2026, 2:36 p.m.
Created at: April 8, 2026, 9:55 p.m.