Triple
T25097467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laplace distribution |
E628628
|
entity |
| Predicate | lossFunctionConnection |
P31982
|
FINISHED |
| Object | corresponds to L1 loss in maximum likelihood estimation |
—
|
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: corresponds to L1 loss in maximum likelihood estimation | Statement: [Laplace distribution, lossFunctionConnection, corresponds to L1 loss in maximum likelihood estimation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lossFunctionConnection Context triple: [Laplace distribution, lossFunctionConnection, corresponds to L1 loss in maximum likelihood estimation]
-
A.
usesLossFunction
chosen
Indicates that one entity employs a particular loss function as part of its optimization or learning process.
-
B.
lossType
Indicates the specific category or nature of a loss associated with an entity or event.
-
C.
performanceFunction
Indicates a relationship where a function or mapping quantifies or evaluates the performance level of an entity, action, or system.
-
D.
lostFunction
Indicates that an entity no longer possesses or can perform a function or capability it previously had.
-
E.
lossContext
Indicates that some relevant information, state, or conditions from an earlier point in a process or interaction are no longer available or preserved in the current context.
- 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f464ba4e148190a8169ac91b2f85b6 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:25 a.m.