Triple
T7420260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noether field |
E171227
|
entity |
| Predicate | questionAsksWhether |
P76858
|
FINISHED |
| Object | K(x_1,…,x_n)^G is purely transcendental over K |
—
|
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: K(x_1,…,x_n)^G is purely transcendental over K | Statement: [Noether field, questionAsksWhether, K(x_1,…,x_n)^G is purely transcendental over K]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionAsksWhether Context triple: [Noether field, questionAsksWhether, K(x_1,…,x_n)^G is purely transcendental over K]
-
A.
raisesQuestion
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
-
B.
questionFormulation
Indicates that one entity formulates, poses, or expresses a question directed toward another entity or context.
-
C.
questionText
Indicates the textual content of a question as it is posed or displayed.
-
D.
questionForm
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
-
E.
canAnswerQuestions
Indicates that an entity has the ability or capacity to respond correctly or appropriately to questions.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ea61248190886e8e55b42ba5f1 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1c3307481909a7f6bb69d4fddac |
completed | March 27, 2026, 9:08 p.m. |
Created at: March 27, 2026, 3:11 p.m.