Triple

T641392
Position Surface form Disambiguated ID Type / Status
Subject Pixel 7 E16746 entity
Predicate soc P17631 FINISHED
Object Google Tensor G2 E72121 NE FINISHED

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 G2 | Statement: [Pixel 7, soc, Google Tensor G2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Google Tensor G2
Context triple: [Pixel 7, soc, Google Tensor G2]
  • 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 Brain
    Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
  • C. Google Pixel
    Google Pixel is a line of smartphones and related consumer devices developed by Google, known for its clean Android experience, advanced camera software, and deep integration with Google’s AI-powered services.
  • D. DeepMind
    DeepMind is a leading artificial intelligence research company renowned for breakthroughs such as AlphaGo and deep reinforcement learning, operating as a subsidiary of Google.
  • E. TensorFlow
    TensorFlow is an open-source, end-to-end machine learning and deep learning framework widely used for building, training, and deploying neural network models at scale.
  • 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: soc
Context triple: [Pixel 7, soc, Google Tensor G2]
  • A. sport
    Indicates that an entity participates in, is associated with, or is characterized by a particular athletic activity or game.
  • B. sponsorSport
    Indicates that one entity financially or materially supports a sport or sporting activity, typically in exchange for promotion or association.
  • C. popularSport
    Indicates that a sport is widely liked, followed, or played by many people within a certain group or region.
  • D. primarySport
    Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
  • E. sportFocus
    Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other entity.
  • F. None of above. chosen

Provenance (5 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f02bc2c8190b8a92b2505768c19 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5778faa788190ac246d6cd6b983f4 completed March 2, 2026, 11:42 a.m.
PD Predicate disambiguation batch_69a49d0830008190a26ee158ed4dd1fe completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49df0de3c81909721eb391ec94031 completed March 1, 2026, 8:13 p.m.
Created at: March 1, 2026, 7:36 p.m.