Triple
T27824465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navier–Cauchy equations |
E702911
|
entity |
| Predicate | canBeExpressedIn |
P12675
|
FINISHED |
| Object | Cartesian coordinates |
—
|
NE NERFINISHED |
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: Cartesian coordinates | Statement: [Navier–Cauchy equations, canBeExpressedIn, Cartesian coordinates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeExpressedIn Context triple: [Navier–Cauchy equations, canBeExpressedIn, Cartesian coordinates]
-
A.
mathematicallyExpressedBy
chosen
Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
-
B.
alsoExpressedIn
Indicates that something which is expressed in one context, medium, or entity is likewise expressed in another.
-
C.
oftenExpressedAs
Indicates that one thing is frequently represented, stated, or manifested in the form of another.
-
D.
canExpress
Indicates that an entity has the ability or capacity to convey, articulate, or communicate something (such as an idea, emotion, or property).
-
E.
isInterpretableIn
Indicates that one formal system, language, or theory can be meaningfully represented, understood, or given a semantics within another system, language, or 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 27, 2026, 5:50 p.m.