Triple
T22666629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poisson process |
E559807
|
entity |
| Predicate | hasInterarrivalTimesIID |
P149164
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Poisson process, hasInterarrivalTimesIID, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterarrivalTimesIID Context triple: [Poisson process, hasInterarrivalTimesIID, true]
-
A.
hasStationaryMean
Indicates that the associated process or variable has a mean value that does not change over time.
-
B.
isHeavyTailed
Indicates that a distribution has a high probability of extreme values, with tails that decay more slowly than those of an exponential or normal distribution.
-
C.
hasEquidistribution
Indicates that something is distributed uniformly or evenly across a given set, space, or range.
-
D.
hasCommonIndependencePeriod
Indicates that two entities share the same historical time span during which they were independent.
-
E.
hasInterval
Indicates that something is associated with a specific span or range between two points in time, space, or value.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781c2c808190baf6964ca1eced6f |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:09 p.m.