Triple

T15513947
Position Surface form Disambiguated ID Type / Status
Subject Kansas Lottery 300 E368783 entity
Predicate sponsor P67 FINISHED
Object Kansas Lottery
The Kansas Lottery is a state-run organization that administers lottery games in Kansas to generate revenue for public programs.
E1162345 NE FINISHED

How this triple was built (4 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: Kansas Lottery | Statement: [Kansas Lottery 300, sponsor, Kansas Lottery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kansas Lottery
Context triple: [Kansas Lottery 300, sponsor, Kansas Lottery]
  • A. Kansas
    Kansas is a largely rural, landlocked U.S. state known for its extensive plains, agricultural production, and central location within the country.
  • B. Karen State
    Karen State is a mountainous, ethnically diverse region in southeastern Myanmar known for its long-running conflict between Karen ethnic groups and the central government.
  • C. Kansas, Georgia
    Kansas, Georgia is a small unincorporated rural community located in Carroll County in the western part of the state.
  • D. Kansas, Alabama
    Kansas, Alabama is a small unincorporated rural community located in Walker County in the U.S. state of Alabama.
  • E. Oklahoma
    Oklahoma is a landlocked state in the south-central United States known for its Native American heritage, energy industry, and mix of Great Plains and forested landscapes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kansas Lottery
Triple: [Kansas Lottery 300, sponsor, Kansas Lottery]
Generated description
The Kansas Lottery is a state-run organization that administers lottery games in Kansas to generate revenue for public programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kansas Lottery
Target entity description: The Kansas Lottery is a state-run organization that administers lottery games in Kansas to generate revenue for public programs.
  • A. Kansas
    Kansas is a largely rural, landlocked U.S. state known for its extensive plains, agricultural production, and central location within the country.
  • B. Karen State
    Karen State is a mountainous, ethnically diverse region in southeastern Myanmar known for its long-running conflict between Karen ethnic groups and the central government.
  • C. Kansas, Georgia
    Kansas, Georgia is a small unincorporated rural community located in Carroll County in the western part of the state.
  • D. Kansas, Alabama
    Kansas, Alabama is a small unincorporated rural community located in Walker County in the U.S. state of Alabama.
  • E. Oklahoma
    Oklahoma is a landlocked state in the south-central United States known for its Native American heritage, energy industry, and mix of Great Plains and forested landscapes.
  • F. None of above. chosen

Provenance (5 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04031e62c8190953b61207142af15 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4edee481908382ca5cd266f7b0 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3f59213c8190a9c98350225b5151 completed May 9, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff3ff96a6c8190a4c9f20dabc86cef completed May 9, 2026, 2:08 p.m.
Created at: April 10, 2026, 4:02 a.m.