Triple
T33985421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegel modular form |
E871397
|
entity |
| Predicate | hasVectorValuedVersion |
P180285
|
FINISHED |
| Object | vector-valued Siegel modular form |
—
|
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: vector-valued Siegel modular form | Statement: [Siegel modular form, hasVectorValuedVersion, vector-valued Siegel modular form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVectorValuedVersion Context triple: [Siegel modular form, hasVectorValuedVersion, vector-valued Siegel modular form]
-
A.
isVectorValued
Indicates that a function or expression returns a vector (multiple components) rather than a single scalar value.
-
B.
hasVector
Indicates that an entity is associated with, or can be represented by, a specific vector in some vector space.
-
C.
isVectorOf
Indicates that one entity is a vector representation or ordered list of components associated with another entity.
-
D.
vectorType
Indicates that one entity is classified as the type or category of vector associated with another entity.
-
E.
hasMinimalVectorLength
Indicates that the associated vector has a length (magnitude) that meets or exceeds a specified minimal threshold.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: May 1, 2026, 1:50 a.m.