Triple

T1937259
Position Surface form Disambiguated ID Type / Status
Subject Rosetta 2 E41469 entity
Predicate runsOn P23 FINISHED
Object Apple M3 E8887 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 M3 | Statement: [Rosetta 2, runsOn, Apple M3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Apple M3
Context triple: [Rosetta 2, runsOn, Apple M3]
  • A. Apple M3 chosen
    Apple M3 is a generation of Apple-designed ARM-based system-on-a-chip processors that power newer Mac computers, offering improved performance and energy efficiency over its predecessors.
  • 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 M4
    Apple M4 is a next-generation ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient computing in its latest devices.
  • E. 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.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c752fc81909baf38ff1cdeb18c completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90470e908190961ac799f23af12f completed March 10, 2026, 3:30 a.m.
Created at: March 4, 2026, 7:36 p.m.