Triple
T25433427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pólya’s conjecture |
E637315
|
entity |
| Predicate | hasMathematicsSubjectClassification |
P102845
|
FINISHED |
| Object | 11N37 |
—
|
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: 11N37 | Statement: [Pólya’s conjecture, hasMathematicsSubjectClassification, 11N37]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMathematicsSubjectClassification Context triple: [Pólya’s conjecture, hasMathematicsSubjectClassification, 11N37]
-
A.
mathematicalSubjectClassification
Indicates that one entity classifies the mathematical subject area or field to which another entity (such as a work, concept, or topic) belongs.
-
B.
hasMathematicalDiscipline
Indicates that one entity is associated with or characterized by a particular branch or field of mathematics.
-
C.
mathematicalClassification
Indicates that one entity is categorized or identified according to a particular mathematical type, structure, or property defined by another entity.
-
D.
hasMSCClassification
chosen
Indicates that an entity is associated with a specific Mathematics Subject Classification (MSC) code or category.
-
E.
supportsMathematicsTopic
Indicates that one entity provides assistance, resources, or reinforcement for understanding or working with a particular mathematics topic.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 21, 2026, 1:59 p.m.