Triple

T13119984
Position Surface form Disambiguated ID Type / Status
Subject Thwomp E311694 entity
Predicate hasVariant P455 FINISHED
Object Thwimp E311694 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: Thwimp | Statement: [Thwomp, hasVariant, Thwimp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thwimp
Context triple: [Thwomp, hasVariant, Thwimp]
  • A. Thwomp chosen
    Thwomp is a large, stone, spike-covered block-like enemy in the Super Mario series that tries to crush the player by slamming down from above.
  • B. Kroitor
    Kroitor is a surname most notably associated with Roman Kroitor, a pioneering Canadian filmmaker and co-founder of IMAX.
  • C. Gumbat
    Gumbat is a town and administrative unit located in the Kohat District of Khyber Pakhtunkhwa province in Pakistan.
  • D. Volotea
    Volotea is a Spanish low-cost airline that primarily operates point-to-point flights connecting small and mid-sized European cities.
  • E. Frosch
    Frosch is the surname of Robert A. Frosch, an American scientist and former NASA administrator known for his contributions to space research and environmental policy.
  • 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_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.
Created at: April 9, 2026, 9:06 p.m.