Triple

T17417453
Position Surface form Disambiguated ID Type / Status
Subject AV1 E423521 entity
Predicate hardwareSupport P33188 FINISHED
Object Apple A17 Pro (decode) 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 A17 Pro (decode) | Statement: [AV1, hardwareSupport, Apple A17 Pro (decode)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple A17 Pro (decode)
Context triple: [AV1, hardwareSupport, Apple A17 Pro (decode)]
  • A. Apple A17 Pro chosen
    Apple A17 Pro is a high-performance 3 nm mobile system-on-a-chip designed by Apple for advanced iPhone models, featuring improved CPU, GPU, and AI processing capabilities.
  • B. Apple A18
    The Apple A18 is a next-generation Apple-designed ARM-based system-on-a-chip expected to power upcoming iPhone models with improved performance and efficiency.
  • C. Apple A16 Bionic
    Apple A16 Bionic is a high-performance, energy-efficient system-on-a-chip used in recent iPhone models, featuring advanced CPU, GPU, and neural engine capabilities for demanding mobile tasks.
  • D. 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.
  • E. Apple A15 Bionic
    Apple A15 Bionic is a high-performance, energy-efficient system-on-a-chip used in various Apple devices, featuring advanced CPU, GPU, and neural engine components for enhanced processing and machine learning tasks.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44233c7888190a4d2aa703b206851 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.