Triple
T32258968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenstra elliptic-curve factorization method |
E824095
|
entity |
| Predicate | probabilistic |
P29140
|
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: [Lenstra elliptic-curve factorization method, probabilistic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: probabilistic Context triple: [Lenstra elliptic-curve factorization method, probabilistic, true]
-
A.
probabilisticForm
Indicates that the relationship or action is expressed in terms of probabilities or likelihoods rather than as a definite or deterministic form.
-
B.
stochastic
chosen
Indicates that the relationship or process involves randomness or probabilistic behavior rather than being fully deterministic.
-
C.
definesProbability
Indicates that one entity specifies or assigns the probability value associated with another entity or event.
-
D.
possiblyBy
Indicates that an action, creation, or effect may have been caused or produced by a particular entity, but this attribution is uncertain or not definitively established.
-
E.
predictability
Indicates that the outcome, behavior, or result of one entity in relation to another can be reliably anticipated or forecast based on known patterns or information.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc5652e08190b519631b7d497e75 |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:41 a.m.