Triple
T20509173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | intuitionism |
E503512
|
entity |
| Predicate | inMathematicsDomain |
P127034
|
FINISHED |
| Object | foundations of mathematics |
—
|
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: foundations of mathematics | Statement: [intuitionism, inMathematicsDomain, foundations of mathematics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inMathematicsDomain Context triple: [intuitionism, inMathematicsDomain, foundations of mathematics]
-
A.
mathematicalLevel
Indicates the degree or complexity of mathematical knowledge, skill, or sophistication associated with an entity.
-
B.
associatedMatha
Indicates a relationship where one entity is linked or affiliated with a particular matha (monastic or religious institution).
-
C.
mathematicallyUses
Indicates that one entity employs or applies another entity within a mathematical context, such as in a formula, proof, computation, or theoretical framework.
-
D.
hasMathematicalDiscipline
chosen
Indicates that one entity is associated with or characterized by a particular branch or field of mathematics.
-
E.
relatedMathematician
Indicates that there is a notable mathematical connection or association between the two entities, such as influence, collaboration, or work on related topics.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc9de788190882ce471966ef2b4 |
completed | April 20, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.