Triple

T28610751

Position	Surface form	Disambiguated ID	Type / Status
Subject	CRIS	`E724161`	entity
Predicate	isaFamily	`P164913`	FINISHED
Object	CRIS instruction set architecture The CRIS instruction set architecture is a compact, RISC-style processor architecture developed by Axis Communications, primarily used in their embedded network and communication devices.	`E1825694`	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: CRIS instruction set architecture | Statement: [CRIS, isaFamily, CRIS instruction set architecture]

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: CRIS instruction set architecture
Triple: [CRIS, isaFamily, CRIS instruction set architecture]

Generated description

The CRIS instruction set architecture is a compact, RISC-style processor architecture developed by Axis Communications, primarily used in their embedded network and communication devices.

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

Target predicate: isaFamily
Context triple: [CRIS, isaFamily, CRIS instruction set architecture]

A. familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
B. fareFamily
Indicates a relationship that classifies a fare or ticket into a specific fare family or category within a pricing structure.
C. topFamily
Indicates that the subject entity belongs to the highest-ranking or primary family group within a given hierarchy or classification.
D. familia
Indicates a familial relationship or bond between entities, such as being members of the same family.
E. ownerFamily
Indicates that a family has ownership or proprietary rights over a particular entity or resource.
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_69f01d816d7c8190a1fe27e3434041dc`	completed	April 28, 2026, 2:37 a.m.
NER	Named-entity recognition	`batch_69f6562fd3488190be1acd8c526a28d2`	completed	May 2, 2026, 7:53 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1cb709f9bc8190a4dcfcc931ad4869`	completed	May 31, 2026, 10:32 p.m.
NEDg	Description generation	`batch_6a1cba82f39c81909e14e1b84288dae2`	completed	May 31, 2026, 10:47 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1cbb0bfcfc8190a8358c2b690880ae`	completed	May 31, 2026, 10:49 p.m.
PD	Predicate disambiguation	`batch_69f651aad92c8190b874b3b5f9f64434`	completed	May 2, 2026, 7:34 p.m.
PDg	Predicate description generation	`batch_69f652a3a8208190a4fdd66f34138bd2`	completed	May 2, 2026, 7:38 p.m.

Created at: April 28, 2026, 4:30 a.m.