Triple

T4425174
Position Surface form Disambiguated ID Type / Status
Subject RLlib E95190 entity
Predicate supportsEnvironmentInterface P11686 FINISHED
Object Gymnasium E95192 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: Gymnasium | Statement: [RLlib, supportsEnvironmentInterface, Gymnasium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gymnasium
Context triple: [RLlib, supportsEnvironmentInterface, Gymnasium]
  • A. Gymnasium chosen
    Gymnasium is a modern open-source toolkit for developing and comparing reinforcement learning algorithms, serving as a successor and refinement to OpenAI Gym.
  • B. First Gymnasium
    The First Gymnasium is one of the main indoor sports and event arenas within the Yoyogi National Gymnasium complex in Tokyo, Japan.
  • C. Second Gymnasium
    The Second Gymnasium is one of the two main indoor arenas within Tokyo’s Yoyogi National Gymnasium complex, used for sports events and other large-scale gatherings.
  • D. Levien Gymnasium
    Levien Gymnasium is an indoor sports arena on Columbia University's campus in New York City that hosts the university's basketball and other athletic events.
  • E. Luitpold Gymnasium
    Luitpold Gymnasium was a secondary school in Munich, Germany, known for being one of the early educational institutions attended by Albert Einstein.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554e40ec8190982acc0948da2f42 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f633a69c8190b062c2a78b0f8319 completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:30 p.m.