Triple
T27675201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaussian quadrature rules |
E697759
|
entity |
| Predicate | weightProperty |
P149113
|
FINISHED |
| Object | weights are positive for standard Gaussian rules |
—
|
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: weights are positive for standard Gaussian rules | Statement: [Gaussian quadrature rules, weightProperty, weights are positive for standard Gaussian rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightProperty Context triple: [Gaussian quadrature rules, weightProperty, weights are positive for standard Gaussian rules]
-
A.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
B.
weightPolarity
Indicates how the direction or sign (positive or negative) of a weight or weighting factor affects the relationship or influence between entities.
-
C.
weightCondition
chosen
Indicates that a specified weight-related requirement or constraint holds between entities or values.
-
D.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
E.
weightIssue
Indicates that there is a problem, concern, or abnormal condition related to the weight of an entity.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 2:43 p.m.