Triple
T5790586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peano existence theorem |
E128381
|
entity |
| Predicate | concernsEquation |
P11116
|
FINISHED |
| Object | y' = f(t,y) |
—
|
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: y' = f(t,y) | Statement: [Peano existence theorem, concernsEquation, y' = f(t,y)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsEquation Context triple: [Peano existence theorem, concernsEquation, y' = f(t,y)]
-
A.
numberOfEquations
Indicates the total count of equations associated with or involved in a given entity or context.
-
B.
supportsEquations
Indicates that one entity provides the capability to handle, display, or work with mathematical equations for another entity or within a given context.
-
C.
concernsFunction
Indicates that something is related to, involves, or pertains to a particular function or functional aspect.
-
D.
targetConcern
Indicates that something is the specific issue, problem, or subject that is the focus of attention, action, or consideration.
-
E.
concern
chosen
Indicates that one entity is about, relates to, or is of interest or importance to another entity.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5585788190821b8da40259e0e7 |
completed | March 22, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.