Triple

T21831026
Position Surface form Disambiguated ID Type / Status
Subject Apple A9 E538993 entity
Predicate brand P1500 FINISHED
Object Apple A-series 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: Apple A-series | Statement: [Apple A9, brand, Apple A-series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple A-series
Context triple: [Apple A9, brand, Apple A-series]
  • 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 H1 chip
    The Apple H1 chip is a custom wireless audio processor designed by Apple to deliver faster connectivity, lower latency, hands-free “Hey Siri,” and improved power efficiency in compatible headphones and earbuds.
  • D. Apple S‑series chip
    The Apple S‑series chip is a custom system-in-package used in Apple Watch that integrates CPU, GPU, memory, and other components to deliver efficient performance in a compact wearable form factor.
  • E. Apple A11 Bionic
    Apple A11 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple for iPhones, notable for significantly boosting performance and efficiency while enabling advanced machine learning and augmented reality features.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f091362d9081909f00ad7a2806d5cb completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:55 p.m.