Triple

T8521484
Position Surface form Disambiguated ID Type / Status
Subject Apple T-series E201701 entity
Predicate marketedAs P1395 FINISHED
Object Apple T2 E739798 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: Apple T2 | Statement: [Apple T-series, marketedAs, Apple T2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple T2
Context triple: [Apple T-series, marketedAs, Apple T2]
  • A. Apple T2 chosen
    Apple T2 is a custom Apple coprocessor that enhances security and integrates multiple system controllers for Macs, handling functions like secure boot, encryption, and image processing.
  • B. Apple M2
    Apple M2 is a second-generation ARM-based system-on-a-chip designed by Apple that delivers improved performance and efficiency for modern Mac computers and iPads.
  • C. Apple M1
    Apple M1 is Apple’s first in-house ARM-based system-on-a-chip for Macs, known for its high performance and power efficiency compared to previous Intel-based processors.
  • D. Apple M2 Max
    Apple M2 Max is a high-performance Apple Silicon system-on-a-chip designed for professional workloads, offering significantly enhanced CPU, GPU, and unified memory capabilities over its predecessors.
  • E. A11 Bionic
    A11 Bionic is Apple's custom 64-bit ARM-based system-on-a-chip introduced with the iPhone 8 and iPhone X, featuring a neural engine for machine learning tasks and significant performance and efficiency improvements over its predecessors.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe62a490481908ee0ad4ba9a94682 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d3fabb08190a3ad63f9153ad44c completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:16 p.m.