Triple
T23801771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nirenberg problem |
E588691
|
entity |
| Predicate | transformationGroup |
P153604
|
FINISHED |
| Object | conformal group of the sphere |
—
|
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: conformal group of the sphere | Statement: [Nirenberg problem, transformationGroup, conformal group of the sphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformationGroup Context triple: [Nirenberg problem, transformationGroup, conformal group of the sphere]
-
A.
transformType
Indicates that one entity is converted or changed from its original form into another specified type or form.
-
B.
transformationContext
Indicates the situational or environmental conditions under which a transformation or change from one state to another occurs.
-
C.
transformationResult
Indicates that one entity is the output or outcome produced by applying a transformation process to another entity.
-
D.
transformationRelation
Indicates a relationship where one entity is changed, converted, or transformed into another entity or state.
-
E.
transformationEvent
Indicates an event in which one entity changes state, form, or structure into another, capturing the process and outcome of that transformation.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c74e430481909debd10c71785912 |
completed | April 29, 2026, 8:54 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:53 p.m.