Triple
T30387015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDE Edu |
E772977
|
entity |
| Predicate | containsApplication |
P14571
|
FINISHED |
| Object | KAlgebra |
—
|
NE NERFINISHED |
How this triple was built (2 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: KAlgebra | Statement: [KDE Edu, containsApplication, KAlgebra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsApplication Context triple: [KDE Edu, containsApplication, KAlgebra]
-
A.
hasApp
chosen
Indicates that an entity possesses, provides, or is associated with a particular application.
-
B.
hasApplicationType
Indicates that an entity is associated with or classified by a specific type or category of application.
-
C.
includesApplicationStore
Indicates that one entity contains or provides access to an application store as part of its structure or offerings.
-
D.
componentApplication
Indicates that one entity is an application or use-case instance that is built from, configured by, or otherwise realized through another entity serving as its component.
-
E.
hasModernApplication
Indicates that something is currently used or applicable in modern contexts, practices, or technologies.
- F. None of above.
Provenance (3 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_69f2248ef0a48190aa54d4d8ac3e5758 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
Created at: April 29, 2026, 8:01 p.m.