Triple

T25931513

Position	Surface form	Disambiguated ID	Type / Status
Subject	Intel Sandy Bridge	`E653448`	entity
Predicate	frontSideBusReplacement	`P160699`	FINISHED
Object	DMI 2.0 DMI 2.0 is Intel’s second-generation Direct Media Interface, a high-speed point-to-point interconnect used to link Sandy Bridge processors with the chipset for data and I/O communication.	`E1701680`	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: DMI 2.0 | Statement: [Intel Sandy Bridge, frontSideBusReplacement, DMI 2.0]

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: DMI 2.0
Triple: [Intel Sandy Bridge, frontSideBusReplacement, DMI 2.0]

Generated description

DMI 2.0 is Intel’s second-generation Direct Media Interface, a high-speed point-to-point interconnect used to link Sandy Bridge processors with the chipset for data and I/O communication.

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

Target predicate: frontSideBusReplacement
Context triple: [Intel Sandy Bridge, frontSideBusReplacement, DMI 2.0]

A. frontSideBus
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. accessByBusFrom
Indicates that one location can be reached from another location using a bus as the mode of transportation.
C. hasBusInterchange
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
D. replacedRide
Indicates that one ride has been substituted for or taken the place of another ride.
E. openedForBusService
Indicates that a facility, route, or location has begun operating and is available for use by public bus services.
F. None of above. chosen

Provenance (7 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_69e7ab3eb9b881909c1390690551f868`	completed	April 21, 2026, 4:52 p.m.
NER	Named-entity recognition	`batch_69f60459a53c8190bbd90e80890eebcd`	completed	May 2, 2026, 2:04 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10ecdad4f08190b6c583e9278198de`	completed	May 22, 2026, 11:55 p.m.
NEDg	Description generation	`batch_6a10f0f8baa48190baadfadfb4e74918`	completed	May 23, 2026, 12:12 a.m.
NED2	Entity disambiguation (via description)	`batch_6a10f163401c8190a442477305cfed1d`	completed	May 23, 2026, 12:14 a.m.
PD	Predicate disambiguation	`batch_69f602d07590819085ac34b189613104`	completed	May 2, 2026, 1:57 p.m.
PDg	Predicate description generation	`batch_69f603b90c94819088d62cb9489e95ff`	completed	May 2, 2026, 2:01 p.m.

Created at: April 22, 2026, 8:37 a.m.