Triple

T7197383
Position Surface form Disambiguated ID Type / Status
Subject Tremont E168649 entity
Predicate supports P516 FINISHED
Object SSSE3 E167944 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: SSSE3 | Statement: [Tremont, supports, SSSE3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SSSE3
Context triple: [Tremont, supports, SSSE3]
  • A. SSSE3 chosen
    SSSE3 (Supplemental Streaming SIMD Extensions 3) is an Intel SIMD instruction set extension that enhances performance for multimedia, signal processing, and other parallelizable workloads.
  • B. SSE3
    SSE3 (Streaming SIMD Extensions 3) is an Intel CPU instruction set extension that adds additional SIMD operations to improve performance in multimedia, gaming, and scientific applications.
  • C. SSE2
    SSE2 is an x86 processor instruction set extension introduced by Intel that adds advanced SIMD (Single Instruction, Multiple Data) capabilities for faster floating-point and integer computations.
  • D. Intel SSE
    Intel SSE is a set of SIMD (Single Instruction, Multiple Data) instruction extensions for x86 processors designed to accelerate multimedia, gaming, and scientific applications through parallel data processing.
  • E. 3DNow!
    3DNow! is a SIMD instruction set extension developed by AMD to accelerate floating-point and multimedia processing, particularly for 3D graphics and gaming workloads.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e928ecdc8190a7f3feaf6d28781b completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfa6be648190950f682eaaeb1a18 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:51 p.m.