Triple
T26254165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | modular j-invariant |
E656674
|
entity |
| Predicate | valuesGenerate |
P4860
|
FINISHED |
| Object | class fields of imaginary quadratic fields |
—
|
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: class fields of imaginary quadratic fields | Statement: [modular j-invariant, valuesGenerate, class fields of imaginary quadratic fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valuesGenerate Context triple: [modular j-invariant, valuesGenerate, class fields of imaginary quadratic fields]
-
A.
ballGeneration
Indicates the creation or production of a ball, specifying that an entity causes a ball to come into existence or appear.
-
B.
generationMethod
Indicates the process, technique, or procedure by which something is created, produced, or derived.
-
C.
keyboardGeneration
Indicates the creation or production of a keyboard, typically specifying that an entity generates or manufactures a keyboard.
-
D.
generation
chosen
Indicates the relationship in which one entity produces, creates, or brings another entity into existence.
-
E.
valuesIn
Indicates that one entity specifies or constrains the set of permissible values for 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dcc29cc81908880bd825cb12141 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 9:08 p.m.