Triple
T18153714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Cloud TPU v4 |
E434572
|
entity |
| Predicate | availableAs |
P1395
|
FINISHED |
| Object | TPU v4 Pod |
—
|
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: TPU v4 Pod | Statement: [Google Cloud TPU v4, availableAs, TPU v4 Pod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TPU v4 Pod Context triple: [Google Cloud TPU v4, availableAs, TPU v4 Pod]
-
A.
TPU Pods
chosen
TPU Pods are large-scale clusters of interconnected Tensor Processing Units designed to accelerate massive machine learning workloads with high-performance distributed training.
-
B.
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.
-
C.
Google Cloud TPU V3
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.
-
D.
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.
-
E.
DPU
DPU is an Incoterm used in international trade that specifies the seller is responsible for delivering goods unloaded at a named place in the buyer’s country, bearing all risks and costs up to that point.
- 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.