Triple
T17676350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAPACK |
E440650
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | PLASMA |
—
|
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: PLASMA | Statement: [LAPACK, influenced, PLASMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PLASMA Context triple: [LAPACK, influenced, PLASMA]
-
A.
Plasma
"Plasma" is a music album by the Japanese rock band Perfume, known for its polished electronic pop sound and futuristic production.
-
B.
Plasmacluster
Plasmacluster is Sharp Corporation’s proprietary air purification technology brand that uses ion generation to reduce airborne pollutants and improve indoor air quality.
-
C.
Plasmolen
Plasmolen is a small village in the Dutch province of Limburg, known for its scenic forests, hills, and recreational areas near the Maas River.
-
D.
Plasma Mobile
chosen
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.
-
E.
Plasmarl
Plasmarl is a residential and industrial district in the city of Swansea, Wales, known for its proximity to the River Tawe and major transport routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6d9ab88190ab0e25eac8b0101c |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10:01 a.m.