Triple

T702966
Position Surface form Disambiguated ID Type / Status
Subject NKVD E14038 entity
Predicate predecessor P97 FINISHED
Object OGPU E85097 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: OGPU | Statement: [NKVD, predecessor, OGPU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OGPU
Context triple: [NKVD, predecessor, OGPU]
  • A. GPU chosen
    The GPU (State Political Directorate) was the Soviet Union’s early secret police and intelligence agency that operated in the 1920s, overseeing political repression and internal security before later reorganizations.
  • B. NVIDIA CUDA
    NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
  • C. NVIDIA DGX
    NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
  • D. RTX
    RTX is a major American aerospace and defense company formed from the merger of Raytheon Company and United Technologies Corporation, known for its advanced military, aviation, and cybersecurity technologies.
  • E. RTX
    RTX is NVIDIA's line of graphics technologies and products centered on real-time ray tracing and advanced GPU performance for gaming and professional visualization.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a532dd708190ab91e515a07b441e completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a63755d1f081909f214ab8d497f096 completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.