Triple
T25097516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | double exponential distribution |
E628629
|
entity |
| Predicate | hasRateParameterization |
P89639
|
FINISHED |
| Object | b = 1/λ |
—
|
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: b = 1/λ | Statement: [double exponential distribution, hasRateParameterization, b = 1/λ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRateParameterization Context triple: [double exponential distribution, hasRateParameterization, b = 1/λ]
-
A.
hasParameterization
chosen
Indicates that one entity serves as the specific parameterization or parameter-setting scheme used to define or configure another entity.
-
B.
hasRateType
Indicates the specific category or scheme under which a rate (such as a price, fee, or interest) is defined or applied.
-
C.
hasScaleParameter
Indicates that an entity is associated with a scale parameter that controls the magnitude or dispersion of a related quantity or distribution.
-
D.
hasDensityParameter
Indicates that an entity is associated with a specific density-related parameter or value used to characterize its density properties.
-
E.
hasDimensionParameter
Indicates that an entity is associated with a specific dimensional parameter (such as size, length, width, or height) that characterizes its measurable extent.
- 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_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:25 a.m.