Triple
T7901839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraichnan model of passive scalar advection |
E183469
|
entity |
| Predicate | timeCorrelation |
P79670
|
FINISHED |
| Object | delta function in time for velocity field |
—
|
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: delta function in time for velocity field | Statement: [Kraichnan model of passive scalar advection, timeCorrelation, delta function in time for velocity field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeCorrelation Context triple: [Kraichnan model of passive scalar advection, timeCorrelation, delta function in time for velocity field]
-
A.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
B.
associatedWithTime
Indicates a relationship where something is linked or connected to a specific point or period in time.
-
C.
timeBehind
Indicates that one entity occurs or is positioned later in time than another, lagging behind it on a temporal scale.
-
D.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
timeCoordinateType
Indicates the specific temporal reference system or framework used to define and interpret time coordinates for an event or entity.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a40a0508190864479c2c41b12cb |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:02 p.m.