Triple
T20645144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scanline VFX |
E507335
|
entity |
| Predicate | Flowline |
P140895
|
FINISHED |
| Object | fluid simulation software |
—
|
LITERAL FINISHED |
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: fluid simulation software | Statement: [Scanline VFX, Flowline, fluid simulation software]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Flowline Context triple: [Scanline VFX, Flowline, fluid simulation software]
-
A.
Waterline
Indicates the level or line on an object or surface that marks where water reaches or has reached.
-
B.
streamlines
Indicates that one entity makes a process, workflow, or interaction between entities more efficient, simple, or direct.
-
C.
flowsThroughLandscape
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
-
D.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
E.
connectedLine
Indicates that two entities are joined by a continuous line or linear connection.
- F. None of above. chosen
Provenance (4 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1dd79481909de985d03ab861c2 |
completed | April 20, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 11:43 a.m.