Triple
T1489789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noether's problem |
E29549
|
entity |
| Predicate | questionForm |
P28577
|
FINISHED |
| Object | is k(G) k-rational? |
—
|
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: is k(G) k-rational? | Statement: [Noether's problem, questionForm, is k(G) k-rational?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionForm Context triple: [Noether's problem, questionForm, is k(G) k-rational?]
-
A.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
B.
raisesQuestion
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
-
C.
inquiry
Indicates that one entity seeks information, clarification, or an answer from another through a question or request.
-
D.
openingQuestion
Indicates that one entity poses an initial or introductory question to another, typically at the start of an interaction or dialogue.
-
E.
centralQuestion
Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c233ec819087e1233af02aabfc |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52c703c8190a56389b09d97659f |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8:12 p.m.