Triple
T36468313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton–Cotes formulas |
E898476
|
entity |
| Predicate | openFormulasUse |
P186024
|
FINISHED |
| Object | nodes excluding endpoints |
—
|
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: nodes excluding endpoints | Statement: [Newton–Cotes formulas, openFormulasUse, nodes excluding endpoints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openFormulasUse Context triple: [Newton–Cotes formulas, openFormulasUse, nodes excluding endpoints]
-
A.
usesForm
Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
-
B.
formalizationUses
Indicates that one formalization or formal system makes use of, depends on, or incorporates another resource, method, or framework in its construction or application.
-
C.
openedForUseAs
Indicates that something was made available and began functioning in the capacity or role specified by another entity or purpose.
-
D.
usesLegalFormulae
Indicates that one entity employs or applies specific legal formulae, expressions, or standardized legal wording in relation to another entity or context.
-
E.
isFormulatedUsing
Indicates that something is created, defined, or expressed by means of a specified method, material, or set of components.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:10 p.m.