Triple
T25728607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volterra integral equation |
E645176
|
entity |
| Predicate | hasSecondKindForm |
P178255
|
FINISHED |
| Object | y(t) = 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: y(t) = f(t) + ∫_a^t K(t,s) y(s) ds | Statement: [Volterra integral equation, hasSecondKindForm, y(t) = f(t) + ∫_a^t K(t,s) y(s) ds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondKindForm Context triple: [Volterra integral equation, hasSecondKindForm, y(t) = f(t) + ∫_a^t K(t,s) y(s) ds]
-
A.
hasSecondPartForm
Indicates that an entity is composed of a second component whose form or structure is specified by the related entity.
-
B.
hasTwoWordForm
Indicates that an entity is represented or expressed using a form consisting of exactly two words.
-
C.
hasSecondary
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
-
D.
hasSecond
Indicates that one entity is the second item, position, or element in an ordered sequence or pair relative to another entity.
-
E.
hasSecondVarna
Indicates that an entity possesses or is associated with a specific second varna (social class or category) in a hierarchical classification system.
- F. None of above. chosen
Provenance (4 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_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 21, 2026, 11:09 p.m.