Triple
T9017991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDE community |
E215643
|
entity |
| Predicate | develops |
P73
|
FINISHED |
| Object |
Plasma Mobile
Plasma Mobile is an open-source, Linux-based mobile user interface and ecosystem designed to bring the KDE Plasma experience to smartphones and other handheld devices.
|
E772969
|
NE FINISHED |
How this triple was built (4 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: Plasma Mobile | Statement: [KDE community, develops, Plasma Mobile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plasma Mobile Context triple: [KDE community, develops, Plasma Mobile]
-
A.
Glu Mobile
Glu Mobile is an American mobile game developer and publisher known for creating popular free-to-play titles, including celebrity-branded games.
-
B.
Platform 7
Platform 7 is one of the passenger train platforms at Perth railway station in Perth, Western Australia.
-
C.
Breeze Mobile
Breeze Mobile is a mobile ticketing and payment app used by the Metropolitan Atlanta Rapid Transit Authority (MARTA) for accessing public transit services in the Atlanta area.
-
D.
Reparto Mobile
Reparto Mobile is a specialized rapid-response and crowd-control unit of Italy’s national police force, the Polizia di Stato.
-
E.
Platform 5
Platform 5 is one of the passenger train platforms at Perth railway station in Perth, Western Australia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Plasma Mobile Triple: [KDE community, develops, Plasma Mobile]
Generated description
Plasma Mobile is an open-source, Linux-based mobile user interface and ecosystem designed to bring the KDE Plasma experience to smartphones and other handheld devices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plasma Mobile Target entity description: Plasma Mobile is an open-source, Linux-based mobile user interface and ecosystem designed to bring the KDE Plasma experience to smartphones and other handheld devices.
-
A.
Glu Mobile
Glu Mobile is an American mobile game developer and publisher known for creating popular free-to-play titles, including celebrity-branded games.
-
B.
Platform 7
Platform 7 is one of the passenger train platforms at Perth railway station in Perth, Western Australia.
-
C.
Breeze Mobile
Breeze Mobile is a mobile ticketing and payment app used by the Metropolitan Atlanta Rapid Transit Authority (MARTA) for accessing public transit services in the Atlanta area.
-
D.
Reparto Mobile
Reparto Mobile is a specialized rapid-response and crowd-control unit of Italy’s national police force, the Polizia di Stato.
-
E.
Platform 5
Platform 5 is one of the passenger train platforms at Perth railway station in Perth, Western Australia.
- F. None of above. chosen
Provenance (5 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a3ef98081909e66372a89f881b9 |
completed | April 1, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbabd6108190aa2f3c6f59d7999c |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc48f22081909f17ec4c5542da47 |
completed | April 3, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdcecebe48190a2ede4c8400b3b42 |
completed | April 3, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:07 p.m.