Triple

T13120381
Position Surface form Disambiguated ID Type / Status
Subject Mushroom World E311703 entity
Predicate hasPart P35 FINISHED
Object Sarasaland
Sarasaland is a fictional desert- and pyramid-themed kingdom in the Super Mario series, primarily featured as Princess Daisy’s homeland in Super Mario Land.
 E1022824 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: Sarasaland | Statement: [Mushroom World, hasPart, Sarasaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarasaland
Context triple: [Mushroom World, hasPart, Sarasaland]
  • A. Vorkuta
    Vorkuta is a remote Arctic city in Russia historically known as one of the largest centers of the Soviet Gulag labor camp system.
  • B. Berdiansk
    Berdiansk is a port city on the northern coast of the Sea of Azov in southeastern Ukraine, known for its beaches and resort facilities.
  • C. Tilsit
    Tilsit is a historic town in former East Prussia (now Sovetsk, Russia), best known as the site where Napoleon and Tsar Alexander I concluded the Treaties of Tilsit in 1807.
  • D. Rashua
    Rashua is a small volcanic island in Russia’s Kuril Islands chain in the northwest Pacific Ocean.
  • E. Borisoglebsk
    Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
  • 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: Sarasaland
Triple: [Mushroom World, hasPart, Sarasaland]
Generated description
Sarasaland is a fictional desert- and pyramid-themed kingdom in the Super Mario series, primarily featured as Princess Daisy’s homeland in Super Mario Land.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarasaland
Target entity description: Sarasaland is a fictional desert- and pyramid-themed kingdom in the Super Mario series, primarily featured as Princess Daisy’s homeland in Super Mario Land.
  • A. Vorkuta
    Vorkuta is a remote Arctic city in Russia historically known as one of the largest centers of the Soviet Gulag labor camp system.
  • B. Berdiansk
    Berdiansk is a port city on the northern coast of the Sea of Azov in southeastern Ukraine, known for its beaches and resort facilities.
  • C. Tilsit
    Tilsit is a historic town in former East Prussia (now Sovetsk, Russia), best known as the site where Napoleon and Tsar Alexander I concluded the Treaties of Tilsit in 1807.
  • D. Rashua
    Rashua is a small volcanic island in Russia’s Kuril Islands chain in the northwest Pacific Ocean.
  • E. Borisoglebsk
    Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e286de608190bf46af2eb656bb79 completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e42cd5408190b687dfae73e2a720 completed May 3, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6e5293ee481908d9a90266ac5c3e6 completed May 3, 2026, 6:03 a.m.
Created at: April 9, 2026, 9:06 p.m.