Triple

T13682770
Position Surface form Disambiguated ID Type / Status
Subject United States Army Airborne School E328042 entity
Predicate alsoKnownAs P39 FINISHED
Object Jump School E328043 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: Jump School | Statement: [United States Army Airborne School, alsoKnownAs, Jump School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jump School
Context triple: [United States Army Airborne School, alsoKnownAs, Jump School]
  • A. Jump School chosen
    Jump School is the informal name for the U.S. Army Airborne School, where soldiers are trained in military parachuting.
  • B. In School
    In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
  • C. Big School
    Big School is a British television sitcom starring Frances de la Tour, set in a dysfunctional secondary school and centered on the comedic antics of its staff and students.
  • D. Battle School
    Battle School is a futuristic orbital military academy where gifted children are rigorously trained through zero-gravity war games to prepare for interstellar conflict in Orson Scott Card’s Ender’s Game.
  • E. Jump-in
    Jump-in was the original name of the Australian streaming and catch-up TV service now known as 9Now.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66e75188190a9e82fdc5eb26513 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944551b481909833cdcff198889c completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.