Triple
T8216763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalman filter |
E191951
|
entity |
| Predicate | computationalProperty |
P79475
|
FINISHED |
| Object | online processing |
—
|
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: online processing | Statement: [Kalman filter, computationalProperty, online processing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: computationalProperty Context triple: [Kalman filter, computationalProperty, online processing]
-
A.
algorithmicProperty
chosen
Indicates that a subject possesses a specific characteristic, behavior, or quality defined in terms of an algorithm or computational procedure.
-
B.
computationalClass
Indicates that two entities share the same computational complexity class or that one entity is categorized within a specified computational complexity class.
-
C.
computationalCost
Indicates the amount of computing resources (such as time, memory, or processing power) required to perform a given operation or process.
-
D.
usesComputationMethod
Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
-
E.
numericalProperty
Indicates that an entity is associated with a specific numeric value or measurable quantity.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb776f41108190bed1c6a8ddbea374 |
completed | March 31, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:44 p.m.