Triple

T3650399
Position Surface form Disambiguated ID Type / Status
Subject Apple hardware E77403 entity
Predicate includes P1393 FINISHED
Object A‑series chips E144256 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: A‑series chips | Statement: [Apple hardware, includes, A‑series chips]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A‑series chips
Context triple: [Apple hardware, includes, A‑series chips]
  • A. Apple A-series chosen
    Apple A-series is a line of custom ARM-based system-on-chip processors designed by Apple to power its mobile devices with high performance and energy efficiency.
  • B. Apple M-series
    The Apple M-series is a line of ARM-based system-on-a-chip processors designed by Apple for its Macs and iPads, known for high performance and power efficiency.
  • C. Apple A14 Bionic
    Apple A14 Bionic is a 5-nanometer ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient use in iPhones and iPads.
  • D. Apple A13 Bionic
    The Apple A13 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple, known for powering the iPhone 11 series and providing advanced performance and machine learning capabilities.
  • E. Snapdragon system-on-chip
    The Snapdragon system-on-chip is a family of mobile processors widely used in smartphones and other devices, integrating CPU, GPU, modem, and other components to deliver high performance and power efficiency.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc39303bc819090725643e53a96d6 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f4002948190af41072962006f51 completed March 13, 2026, 5:54 p.m.
Created at: March 8, 2026, 3:24 p.m.