Triple
T6236634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laplace operator |
E139493
|
entity |
| Predicate | definitionInRn |
P62235
|
FINISHED |
| Object | Δf = ∑_{i=1}^n ∂²f/∂x_i² |
—
|
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: Δf = ∑_{i=1}^n ∂²f/∂x_i² | Statement: [Laplace operator, definitionInRn, Δf = ∑_{i=1}^n ∂²f/∂x_i²]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definitionInRn
Context triple: [Laplace operator, definitionInRn, Δf = ∑_{i=1}^n ∂²f/∂x_i²]
-
A.
definedOn
Indicates that something (such as a function, rule, or structure) is specified to apply or be valid over a particular domain, set, or context.
-
B.
defined
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity of another entity.
-
C.
divisionDefinedBy
Indicates that a division or partition is established or characterized according to a specified rule, criterion, or defining entity.
-
D.
definitionText
chosen
Indicates the textual content that provides the definition or explanatory meaning of a concept, term, or entity.
-
E.
definitionType
Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063021258819093a9237041816638 |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.