Triple

T1674351
Position Surface form Disambiguated ID Type / Status
Subject William Cullen Bryant E36196 entity
Predicate notableWork P4 FINISHED
Object The Prairies E9201 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: The Prairies | Statement: [William Cullen Bryant, notableWork, The Prairies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Prairies
Context triple: [William Cullen Bryant, notableWork, The Prairies]
  • A. Great Plains chosen
    The Great Plains is a vast, mostly flat grassland region in central North America known for its prairies, agriculture, and continental climate.
  • B. Plains
    Plains is a small village in North Lanarkshire, Scotland, situated between Airdrie and Caldercruix in the country’s Central Belt.
  • C. Corn Belt
    The Corn Belt is a highly productive agricultural region in the central United States known for its intensive corn and soybean farming.
  • D. North-Western Provinces
    North-Western Provinces was a major administrative region of British India in the 19th and early 20th centuries, encompassing much of what is now the northern part of Uttar Pradesh.
  • E. Palouse region
    The Palouse region is a fertile, rolling agricultural area in the northwestern United States, renowned for its distinctive loess hills and extensive wheat and legume farming.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6247ec408190bc25d694b3238fa4 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71b5729c8190b410893d62bedb13 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.