Triple
T22423098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdős–Kac theorem |
E554297
|
entity |
| Predicate | randomVariableModeled |
P29140
|
FINISHED |
| Object | ω(n) |
—
|
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: ω(n) | Statement: [Erdős–Kac theorem, randomVariableModeled, ω(n)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: randomVariableModeled Context triple: [Erdős–Kac theorem, randomVariableModeled, ω(n)]
-
A.
possibleModel
Indicates that one entity can serve as a potential or candidate model or template for another entity.
-
B.
definesProbability
Indicates that one entity specifies or assigns the probability value associated with another entity or event.
-
C.
naturalVariables
Indicates that certain variables or parameters arise directly from the inherent properties or natural behavior of a system, rather than being externally imposed or artificially defined.
-
D.
stochastic
chosen
Indicates that the relationship or process involves randomness or probabilistic behavior rather than being fully deterministic.
-
E.
hasVariability
Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2af620819083338127e78137dc |
completed | April 29, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:47 p.m.