Triple
T21958382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 6 series |
E542255
|
entity |
| Predicate | usesSystemOnChip |
P44591
|
FINISHED |
| Object | Google Tensor |
—
|
NE NERFINISHED |
How this triple was built (3 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 Tensor | Statement: [Pixel 6 series, usesSystemOnChip, Google Tensor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Tensor Context triple: [Pixel 6 series, usesSystemOnChip, Google Tensor]
-
A.
Google Tensor
chosen
Google Tensor is Google's custom-designed system-on-a-chip (SoC) platform created to power Pixel devices with advanced AI and machine learning capabilities.
-
B.
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.
-
C.
Google Brain
Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
-
D.
Google AI Studio
Google AI Studio is a web-based development environment from Google that lets developers build, test, and integrate applications using Gemini and other Google AI models.
-
E.
Google AI features
Google AI features are a suite of artificial intelligence capabilities integrated across Google’s hardware, software, and cloud services to enhance productivity, creativity, and personalized user experiences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSystemOnChip Context triple: [Pixel 6 series, usesSystemOnChip, Google Tensor]
-
A.
hasMicrocontroller
Indicates that an entity contains, includes, or is equipped with a microcontroller as one of its components.
-
B.
hasMicrocontrollerCore
Indicates that one entity incorporates or contains a microcontroller core as part of its internal components or architecture.
-
C.
supportsOnChipNetworking
Indicates that one entity provides or enables integrated networking capabilities directly on a chip for another entity.
-
D.
usesSoC
chosen
Indicates that one entity incorporates or relies on a particular system-on-chip (SoC) as a core hardware component for its operation.
-
E.
usedBySystem
Indicates that something is utilized or operated by a particular system.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244204f081909742d4fe138610d6 |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8 p.m.