Triple

T4470231
Position Surface form Disambiguated ID Type / Status
Subject Prioritized Experience Replay DQN E98475 entity
Predicate tradeOff P28908 FINISHED
Object focus on rare high-error transitions vs coverage of state space LITERAL 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: focus on rare high-error transitions vs coverage of state space | Statement: [Prioritized Experience Replay DQN, tradeOff, focus on rare high-error transitions vs coverage of state space]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tradeOff
Context triple: [Prioritized Experience Replay DQN, tradeOff, focus on rare high-error transitions vs coverage of state space]
  • A. hasTradeoff chosen
    Indicates that one option or outcome involves a compromise in which gaining certain benefits requires accepting corresponding costs or disadvantages.
  • B. compromiseBetween
    Indicates a relationship in which two or more parties mutually adjust their positions or demands to reach a middle-ground agreement.
  • C. trades
    Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
  • D. negotiation
    Indicates a process in which two or more parties communicate and make offers and counteroffers to reach a mutually acceptable agreement.
  • E. compromiseFeature
    Indicates that one entity weakens, reduces, or negatively affects the quality, effectiveness, or integrity of a feature of another entity.
  • F. None of above.

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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fb69a0819099f0005779f4fcac completed March 13, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69b3563bf4f8819081726cde3a34460b completed March 13, 2026, 12:11 a.m.
Created at: March 12, 2026, 11:34 p.m.