Triple
T10991467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simpson's rule |
E259761
|
entity |
| Predicate | derivationMethod |
P12825
|
FINISHED |
| Object | Lagrange interpolating polynomial of degree 2 |
—
|
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: Lagrange interpolating polynomial of degree 2 | Statement: [Simpson's rule, derivationMethod, Lagrange interpolating polynomial of degree 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivationMethod Context triple: [Simpson's rule, derivationMethod, Lagrange interpolating polynomial of degree 2]
-
A.
derivationType
chosen
Indicates the specific manner or process by which one entity is derived or obtained from another.
-
B.
realizationMethod
Indicates the means, process, or technique by which something is carried out, implemented, or brought into effect.
-
C.
derivativesType
Indicates the specific kind or category of derivative relationship that exists between two related entities.
-
D.
interpretationMethod
Indicates the method, technique, or process used to interpret or derive meaning from something.
-
E.
usesComputationMethod
Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d1e918819090c71f5a077fa15a |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.