Triple

T6002644
Position Surface form Disambiguated ID Type / Status
Subject Sunflower Showdown E133632 entity
Predicate namedAfter P63 FINISHED
Object Sunflower State E164854 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: Sunflower State | Statement: [Sunflower Showdown, namedAfter, Sunflower State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunflower State
Context triple: [Sunflower Showdown, namedAfter, Sunflower State]
  • A. Sunflower State chosen
    The Sunflower State is the popular nickname for Kansas, a U.S. state known for its vast plains and fields of sunflowers.
  • B. Peach State
    Peach State is a popular nickname for the U.S. state of Georgia, referencing its reputation for producing high-quality peaches.
  • C. Beehive State
    The Beehive State is the official nickname of Utah, symbolizing the state's historical emphasis on industry, hard work, and community cooperation.
  • D. Hoosier State
    The Hoosier State was a passenger train service that operated between Chicago, Illinois, and Indianapolis, Indiana, providing regional rail transportation in the Midwestern United States.
  • E. The Magnolia State
    The Magnolia State is the official nickname of Mississippi, referencing the magnolia trees and blossoms that are emblematic of the state.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04ee9cb0c8190a3361c36ac3944af completed March 22, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10888e58c8190a9454de046b27faf completed March 23, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:05 p.m.