Triple

T29405650

Position	Surface form	Disambiguated ID	Type / Status
Subject	GNOME Weather	`E745770`	entity
Predicate	usesPlatformLibrary	`P55160`	FINISHED
Object	libgweather libgweather is a GNOME library that provides weather information and location data services for applications within the GNOME desktop environment.	`E1866922`	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: libgweather | Statement: [GNOME Weather, usesPlatformLibrary, libgweather]

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: libgweather
Triple: [GNOME Weather, usesPlatformLibrary, libgweather]

Generated description

libgweather is a GNOME library that provides weather information and location data services for applications within the GNOME desktop environment.

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

Target predicate: usesPlatformLibrary
Context triple: [GNOME Weather, usesPlatformLibrary, libgweather]

A. usedByPlatform
Indicates that something (such as a tool, component, or resource) is utilized or employed by a particular platform.
B. hasTargetPlatform
Indicates that something is intended to run on, be compatible with, or be deployed to a specified platform.
C. usedOnPlatformType
Indicates that something is utilized or operates on a specific type of platform.
D. usesCLibrary
Indicates that one entity makes use of, depends on, or integrates functionality from a C language library provided by another entity.
E. implementedInLibrary chosen
Indicates that a particular functionality, feature, or component is realized and provided within a specific software library.
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_69f0a79eb7d081908c67197a5f347e68`	completed	April 28, 2026, 12:27 p.m.
NER	Named-entity recognition	`batch_69f6ffbad8848190867c2988c0ceb84f`	completed	May 3, 2026, 7:56 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a25d91aa7cc819082409393cd289019`	completed	June 7, 2026, 8:48 p.m.
NEDg	Description generation	`batch_6a25dd6cf59c8190a133dd2b6c674860`	completed	June 7, 2026, 9:06 p.m.
NED2	Entity disambiguation (via description)	`batch_6a25e187fdec819097a53d52d903c601`	completed	June 7, 2026, 9:24 p.m.
PD	Predicate disambiguation	`batch_69f6fc53f4f881908dcc698687bbb64d`	completed	May 3, 2026, 7:42 a.m.

Created at: April 28, 2026, 2:54 p.m.