Triple
T4094354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crank–Nicolson scheme |
E87777
|
entity |
| Predicate | discretizes |
P52986
|
FINISHED |
| Object | time derivative |
—
|
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: time derivative | Statement: [Crank–Nicolson scheme, discretizes, time derivative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discretizes Context triple: [Crank–Nicolson scheme, discretizes, time derivative]
-
A.
decimalized
Indicates that something has been converted into or expressed in decimal form, typically changing from another numeral or measurement system to a base-10 representation.
-
B.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
C.
decentralized
Indicates that control, authority, or decision-making is distributed across multiple entities rather than concentrated in a single central entity.
-
D.
discloses
Indicates that one entity reveals, makes known, or provides previously non-public information to another entity or to the public.
-
E.
quantifies
Indicates that one entity expresses or specifies the amount, number, or degree of another entity.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcdc1ce08190922f55f812b0fda3 |
completed | March 9, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9b34dec81909bbc3def9decc71a |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:40 p.m.