Triple

T13412351
Position Surface form Disambiguated ID Type / Status
Subject Super Mario Advance 4: Super Mario Bros. 3 E320119 entity
Predicate includesWorld P22156 FINISHED
Object Ice Land E311699 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: Ice Land | Statement: [Super Mario Advance 4: Super Mario Bros. 3, includesWorld, Ice Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ice Land
Context triple: [Super Mario Advance 4: Super Mario Bros. 3, includesWorld, Ice Land]
  • A. Ice Land chosen
    Ice Land is a frigid, snow- and ice-themed world in Super Mario Bros. 3 known for its slippery terrain and cold-weather enemies.
  • B. Terra Nova
    Terra Nova is a major offshore oil field and production facility located on the Grand Banks off the coast of Newfoundland and Labrador, Canada.
  • C. Terra Nova
    Terra Nova is a science fiction television series set in a dystopian future where humans travel back to prehistoric Earth to save civilization.
  • D. Terra Nova
    Terra Nova was a British whaling and exploration ship best known for carrying Robert Falcon Scott’s ill-fated Terra Nova Expedition to Antarctica in the early 20th century.
  • E. Terra Nova
    Terra Nova is a municipality located in the state of Bahia in northeastern Brazil.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307e9b5881908eb2cd9e4fa7c5f2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.