Triple
T37259126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naimark problem |
E924211
|
entity |
| Predicate | isQuestionAbout |
P380
|
FINISHED |
| Object | relationship between representation type and structural type of C*-algebras |
—
|
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: relationship between representation type and structural type of C*-algebras | Statement: [Naimark problem, isQuestionAbout, relationship between representation type and structural type of C*-algebras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isQuestionAbout Context triple: [Naimark problem, isQuestionAbout, relationship between representation type and structural type of C*-algebras]
-
A.
questionAsksWhether
Indicates that one entity poses a question to determine if a particular condition, fact, or proposition is true or not.
-
B.
isAbout
chosen
Indicates that one entity has as its subject, focus, or primary concern the content, topic, or theme represented by another entity.
-
C.
questionFormInTitle
Indicates that the title is phrased in the form of a question.
-
D.
canAnswerQuestionsIn
Indicates that an entity has the ability to answer questions within a specified context, domain, or environment.
-
E.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.