Triple
T36468311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton–Cotes formulas |
E898476
|
entity |
| Predicate | useWeights |
P154127
|
FINISHED |
| Object | precomputed coefficients for each node |
—
|
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: precomputed coefficients for each node | Statement: [Newton–Cotes formulas, useWeights, precomputed coefficients for each node]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useWeights Context triple: [Newton–Cotes formulas, useWeights, precomputed coefficients for each node]
-
A.
weightsBy
Indicates that one entity assigns or determines the relative importance or influence of another entity, typically by associating it with a weight or weighting scheme.
-
B.
weightingMethod
Indicates how relative importance or influence is assigned to elements within a set, such as criteria, features, or data points, in a calculation or decision process.
-
C.
availableWeights
chosen
Indicates that certain weight values or options are currently accessible or usable in a given context.
-
D.
allowsWeightClasses
Indicates that one entity permits or supports the use of defined weight categories for another entity or within a given context.
-
E.
isHeavilyWeightedToward
Indicates that something is strongly biased or disproportionately oriented in favor of one side, option, or aspect over others.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.