Triple
T31492951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton’s method |
E803455
|
entity |
| Predicate | multivariateUpdateFormula |
P171698
|
FINISHED |
| Object | x_{n+1} = x_n - J_f(x_n)^{-1} f(x_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: x_{n+1} = x_n - J_f(x_n)^{-1} f(x_n) | Statement: [Newton’s method, multivariateUpdateFormula, x_{n+1} = x_n - J_f(x_n)^{-1} f(x_n)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multivariateUpdateFormula
Context triple: [Newton’s method, multivariateUpdateFormula, x_{n+1} = x_n - J_f(x_n)^{-1} f(x_n)]
-
A.
acceleratingGradient
Indicates that a process, change, or effect is increasing in rate over time, becoming progressively faster or more intense.
-
B.
updatableVia
Indicates that one entity can be modified, refreshed, or brought up to date through the use, action, or mediation of another entity.
-
C.
updated
Indicates that an entity has been modified or brought to a more recent state compared to its previous version or status.
-
D.
isUpdateFor
Indicates that one entity serves as a newer or modified version that replaces or revises another entity.
-
E.
updatedIn
Indicates that an entity has undergone a change or modification within a specified time period or version context.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a1e657248190a11fc2bb49c9548a |
completed | May 3, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 30, 2026, 9:39 p.m.