Triple
T25728606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volterra integral equation |
E645176
|
entity |
| Predicate | hasFirstKindForm |
P169
|
FINISHED |
| Object | f(t) = ∫_a^t K(t,s) y(s) ds |
—
|
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: f(t) = ∫_a^t K(t,s) y(s) ds | Statement: [Volterra integral equation, hasFirstKindForm, f(t) = ∫_a^t K(t,s) y(s) ds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstKindForm Context triple: [Volterra integral equation, hasFirstKindForm, f(t) = ∫_a^t K(t,s) y(s) ds]
-
A.
hasFirstPartForm
Indicates that an entity’s initial or leading part takes a specific form or structural configuration.
-
B.
hasFullForm
Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
-
C.
hasNonStandardForm
Indicates that an entity possesses a form, variant, or representation that deviates from the standard, canonical, or commonly accepted form.
-
D.
hasForm
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
E.
hasFirstTerm
Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 21, 2026, 11:09 p.m.