Triple

T25617012
Position Surface form Disambiguated ID Type / Status
Subject Socket 462 E642185 entity
Predicate designedFor P98 FINISHED
Object AMD K7 microarchitecture
The AMD K7 microarchitecture is a seventh-generation x86 CPU design introduced by AMD in the late 1990s, notable for its Athlon processors and for significantly challenging Intel’s performance leadership at the time.
E1686865 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: AMD K7 microarchitecture | Statement: [Socket 462, designedFor, AMD K7 microarchitecture]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AMD K7 microarchitecture
Triple: [Socket 462, designedFor, AMD K7 microarchitecture]
Generated description
The AMD K7 microarchitecture is a seventh-generation x86 CPU design introduced by AMD in the late 1990s, notable for its Athlon processors and for significantly challenging Intel’s performance leadership at the time.

Provenance (5 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_69e77e7a96748190b10f2699041e4e43 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5f9e8734c8190a214685b1647abe1 completed May 2, 2026, 1:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b77c41e48190b19a60efcf2d70bd completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b84ad3ac8190b78bec4cd68a84e8 completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b96903108190bd27481597bf46fa completed May 22, 2026, 8:15 p.m.
Created at: April 21, 2026, 5 p.m.