Triple
T10807852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton’s maximum principle |
E255014
|
entity |
| Predicate | notionOf |
P95563
|
FINISHED |
| Object | invariant convex cones of tensors |
—
|
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: invariant convex cones of tensors | Statement: [Hamilton’s maximum principle, notionOf, invariant convex cones of tensors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notionOf Context triple: [Hamilton’s maximum principle, notionOf, invariant convex cones of tensors]
-
A.
conceptualizedFor
Indicates that one entity has been conceived, designed, or mentally framed specifically for use, application, or relevance to another entity.
-
B.
usesNotion
Indicates that one entity makes use of the Notion application or platform for its activities or purposes.
-
C.
philosophicalConcept
Indicates that one entity is a philosophical concept that characterizes, explains, or is thematically central to the other entity.
-
D.
isConceptual
Indicates that something exists as an abstract or theoretical idea rather than as a concrete, physical entity.
-
E.
thematicConcept
Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b506488190921e6a1f4168dd9e |
completed | April 9, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:18 p.m.