Triple

T26006871

Position	Surface form	Disambiguated ID	Type / Status
Subject	Socket 754	`E646783`	entity
Predicate	frontSideBusType	`P99927`	FINISHED
Object	HyperTransport HyperTransport is a high-speed, low-latency point-to-point interconnect technology used primarily to link processors and other components in computer systems.	`E1033649`	NE FINISHED

How this triple was built (3 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: HyperTransport | Statement: [Socket 754, frontSideBusType, HyperTransport]

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: HyperTransport
Triple: [Socket 754, frontSideBusType, HyperTransport]

Generated description

HyperTransport is a high-speed, low-latency point-to-point interconnect technology used primarily to link processors and other components in computer systems.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: frontSideBusType
Context triple: [Socket 754, frontSideBusType, HyperTransport]

A. frontSideBus chosen
Indicates a connection where one component communicates with another over the primary data pathway (front-side bus) between a processor and the rest of the system.
B. frontSideBusReplacement
Indicates that one front side bus has been replaced by another in a system or configuration.
C. frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
D. frontSightType
Indicates the specific kind or design of the front sight used on an object, typically a firearm or similar aiming device.
E. typeOfFront
Indicates that one entity is a specific kind or category of front (e.g., weather or battle front) relative to another.
F. None of above.

Provenance (6 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_69e77e89d5848190b54352cdb74f6029`	completed	April 21, 2026, 1:41 p.m.
NER	Named-entity recognition	`batch_69f62d89b89c8190afb372a8172111e7`	completed	May 2, 2026, 4:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1107a0d6f8819097c491a23b41421b`	completed	May 23, 2026, 1:49 a.m.
NEDg	Description generation	`batch_6a11086503f88190b06b786b4cda12d1`	completed	May 23, 2026, 1:52 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1108aa194481908986a597992ffbac`	completed	May 23, 2026, 1:53 a.m.
PD	Predicate disambiguation	`batch_69f62c1379f08190836c3e02b0c892df`	completed	May 2, 2026, 4:53 p.m.

Created at: April 22, 2026, 9:01 a.m.