Triple
T9838807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Bruijn–Newman constant |
E239168
|
entity |
| Predicate | refinedConjecture |
P90268
|
FINISHED |
| Object | Λ = 0 |
—
|
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: Λ = 0 | Statement: [de Bruijn–Newman constant, refinedConjecture, Λ = 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refinedConjecture Context triple: [de Bruijn–Newman constant, refinedConjecture, Λ = 0]
-
A.
associatedConjecture
Indicates that one entity is linked or connected to a particular conjecture, typically as its subject, source, or relevant context.
-
B.
relatedConjecture
Indicates that one conjecture is connected or associated with another conjecture, such as by similarity, dependency, or thematic relation.
-
C.
confirmedTheoryOf
Indicates that one entity is recognized or established as the validated theoretical explanation or model of another entity.
-
D.
proposesHypothesis
Indicates that one entity puts forward a tentative explanation or hypothesis for consideration regarding another entity or phenomenon.
-
E.
refinedIn
Indicates that one entity is processed or purified within a refining facility or operation to improve its quality or extract desired components.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34921b881909836ba0f5b42a27b |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:33 p.m.