Triple

T18153698
Position Surface form Disambiguated ID Type / Status
Subject Google Cloud TPU v4 E434572 entity
Predicate predecessor P97 FINISHED
Object Google Cloud TPU v3 — NE NERFINISHED

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: Google Cloud TPU v3 | Statement: [Google Cloud TPU v4, predecessor, Google Cloud TPU v3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Google Cloud TPU v3
Context triple: [Google Cloud TPU v4, predecessor, Google Cloud TPU v3]
  • A. Google Cloud TPU V3 chosen
    Google Cloud TPU v3 is a high-performance, third-generation tensor processing unit offered on Google Cloud for accelerating large-scale machine learning and deep learning workloads.
  • B. Google Cloud TPU V2
    Google Cloud TPU V2 is a second-generation tensor processing unit offered as a cloud service by Google, designed to accelerate large-scale machine learning workloads such as deep neural network training and inference.
  • C. Google Cloud TPU V4
    Google Cloud TPU v4 is a high-performance, fourth-generation tensor processing unit accelerator offered on Google Cloud, optimized for large-scale machine learning and deep learning workloads.
  • D. Google TPU
    Google TPU is a custom-designed application-specific integrated circuit (ASIC) developed by Google to accelerate machine learning workloads, particularly deep learning inference and training in its data centers.
  • E. TensorFlow Cloud
    TensorFlow Cloud is a library that simplifies running and scaling TensorFlow training workloads on Google Cloud directly from local or notebook-based development environments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de3a99c081908e9615072e62b02f completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:30 a.m.