Triple
T27025509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godunov's method |
E680772
|
entity |
| Predicate | hasOrderOfAccuracy |
P62233
|
FINISHED |
| Object | first order in space |
—
|
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: first order in space | Statement: [Godunov's method, hasOrderOfAccuracy, first order in space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrderOfAccuracy Context triple: [Godunov's method, hasOrderOfAccuracy, first order in space]
-
A.
hasLocalTruncationErrorOrder
Indicates the order or degree to which a local truncation error term appears or dominates in a numerical or analytical approximation.
-
B.
hasAccuracy
chosen
Indicates that something possesses a specified level or measure of correctness, precision, or exactness in relation to a standard or reference.
-
C.
isOrderOf
Indicates that one entity specifies the sequence, arrangement, or ranking in which elements of another entity are organized or occur.
-
D.
hasOrderlinessProperty
Indicates that something possesses a characteristic related to order, organization, or structured arrangement.
-
E.
hasOrderInPerturbationTheory
Indicates that a given quantity, interaction, or term is associated with a specific order in a perturbative expansion within perturbation theory.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 27, 2026, 7:10 a.m.