Triple
T24336929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bochner–Martinelli formula |
E613405
|
entity |
| Predicate | requiresFunctionClass |
P56256
|
FINISHED |
| Object | C^1 functions on the closure of the domain |
—
|
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: C^1 functions on the closure of the domain | Statement: [Bochner–Martinelli formula, requiresFunctionClass, C^1 functions on the closure of the domain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresFunctionClass Context triple: [Bochner–Martinelli formula, requiresFunctionClass, C^1 functions on the closure of the domain]
-
A.
typicalFunctionClass
Indicates that something belongs to the usual or characteristic functional category associated with it.
-
B.
containsFunction
Indicates that one entity includes, defines, or provides the implementation of a particular function.
-
C.
usesFunction
Indicates that one entity employs, invokes, or relies on a particular function to perform an operation or achieve a result.
-
D.
usesClass
chosen
Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
-
E.
hasFunctionCategory
Indicates that something is associated with a particular functional category or role it performs.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293212a0881908da028e81d26247d |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:57 a.m.