Triple

T25372412

Position	Surface form	Disambiguated ID	Type / Status
Subject	Dis virtual machine	`E632963`	entity
Predicate	languageRuntimeFor	`P30252`	FINISHED
Object	Limbo Limbo is a concurrent programming language designed for distributed systems, notably used with the Inferno operating system and its Dis virtual machine.	`E1676494`	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: Limbo | Statement: [Dis virtual machine, languageRuntimeFor, Limbo]

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: Limbo
Triple: [Dis virtual machine, languageRuntimeFor, Limbo]

Generated description

Limbo is a concurrent programming language designed for distributed systems, notably used with the Inferno operating system and its Dis virtual machine.

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

Target predicate: languageRuntimeFor
Context triple: [Dis virtual machine, languageRuntimeFor, Limbo]

A. usesLanguageRuntime chosen
Indicates that an entity operates using, depends on, or is executed within a specific language runtime environment.
B. languageOfOperation
Indicates the language in which an entity (such as a system, service, or process) primarily operates or functions.
C. languageName
Indicates the specific name assigned to a language in the relationship.
D. languageOfInterpretation
Indicates the language in which something (such as text, speech, or content) is interpreted or understood.
E. languageProvision
Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
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_69e75a90c0dc819092f928b6ea0ecc72`	completed	April 21, 2026, 11:08 a.m.
NER	Named-entity recognition	`batch_69f6b903538481909cffcb6cc1cc0e70`	completed	May 3, 2026, 2:54 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a107607ebd88190b55693402f06c47f`	completed	May 22, 2026, 3:28 p.m.
NEDg	Description generation	`batch_6a10775bf4f081909144fed76935e56d`	completed	May 22, 2026, 3:33 p.m.
NED2	Entity disambiguation (via description)	`batch_6a107831d85c8190a679eee6f5a9f4b9`	completed	May 22, 2026, 3:37 p.m.
PD	Predicate disambiguation	`batch_69f6b626120c819097c9ad04487570d7`	completed	May 3, 2026, 2:42 a.m.

Created at: April 21, 2026, 1:38 p.m.