Triple

T12578063
Position Surface form Disambiguated ID Type / Status
Subject Marshall County, South Dakota E300260 entity
Predicate borders P224 FINISHED
Object North Dakota E31933 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: North Dakota | Statement: [Marshall County, South Dakota, borders, North Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Dakota
Context triple: [Marshall County, South Dakota, borders, North Dakota]
  • A. North Dakota chosen
    North Dakota is a sparsely populated U.S. state known for its Great Plains landscapes, agricultural economy, and significant oil production from the Bakken formation.
  • B. South Dakota
    South Dakota is a largely rural U.S. state known for the Black Hills, Mount Rushmore, and its Native American heritage.
  • C. Montana
    Montana is a large, sparsely populated U.S. state in the northern Rocky Mountains known for its expansive wilderness, national parks like Glacier, and wide-open "Big Sky" landscapes.
  • D. Montana
    Montana was a former Swiss alpine resort municipality that later became part of the larger resort area of Crans-Montana in the canton of Valais.
  • E. Nebraska
    Nebraska is a 2013 black-and-white American road comedy-drama film directed by Alexander Payne that follows an aging man's quixotic journey to claim a supposed sweepstakes prize.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67190a20c8190918b465b67d25869 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 4:53 p.m.