Triple

T7032775
Position Surface form Disambiguated ID Type / Status
Subject Goldmont Plus E163308 entity
Predicate supports P516 FINISHED
Object Intel MPX E637101 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: Intel MPX | Statement: [Goldmont Plus, supports, Intel MPX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Intel MPX
Context triple: [Goldmont Plus, supports, Intel MPX]
  • A. Intel MPX chosen
    Intel MPX is a hardware-based memory protection extension for Intel processors designed to help prevent buffer overflows by enforcing bounds checking on pointer references.
  • B. Intel SGX
    Intel SGX is a hardware-based security technology that enables the creation of protected enclaves in memory to run sensitive code and data in isolation from the rest of the system.
  • C. Intel AES-NI
    Intel AES-NI is a set of hardware instructions introduced by Intel to accelerate and secure AES encryption and decryption operations in modern processors.
  • D. Intel Trusted Execution Technology
    Intel Trusted Execution Technology is a hardware-based security feature that helps ensure a trusted, measured launch and execution environment for software on Intel platforms.
  • E. Intel AVX
    Intel AVX is an x86 processor instruction set extension from Intel that accelerates floating-point and vector-intensive workloads, commonly used in high-performance computing, multimedia, and scientific applications.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2102f8c819080c983319307846a completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7885d83d4819099cc334dd2841f3b completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:36 p.m.