Triple
T17040697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathematics Subject Classification |
E413438
|
entity |
| Predicate | topLevelExample |
P81571
|
FINISHED |
| Object | 11 Number theory |
—
|
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: 11 Number theory | Statement: [Mathematics Subject Classification, topLevelExample, 11 Number theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topLevelExample Context triple: [Mathematics Subject Classification, topLevelExample, 11 Number theory]
-
A.
topLevel
Indicates that an entity occupies the highest or outermost level in a hierarchy, structure, or organizational arrangement, with no parent above it.
-
B.
baseExamples
Indicates that something serves as a fundamental or illustrative example for understanding or demonstrating another concept, item, or case.
-
C.
topLevelRepresents
Indicates that one entity serves as the primary or overarching representation of another entity or concept at the highest level of abstraction or organization.
-
D.
exampleTopic
chosen
Indicates that something serves as an illustrative or representative instance of a broader topic or concept.
-
E.
exampleType
Indicates that one entity serves as a representative or illustrative instance of the type or category defined by another entity.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f6a0c08190a838279b83b55b72 |
completed | April 18, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.