Triple
T22382133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U(1) |
E553299
|
entity |
| Predicate | hasManifoldStructure |
P147447
|
FINISHED |
| Object | 1-dimensional smooth manifold |
—
|
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: 1-dimensional smooth manifold | Statement: [U(1), hasManifoldStructure, 1-dimensional smooth manifold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManifoldStructure Context triple: [U(1), hasManifoldStructure, 1-dimensional smooth manifold]
-
A.
hasRealStructure
Indicates that an abstract object or system is endowed with a concrete, well-defined mathematical or physical structure that makes it realizable or interpretable in a real-world or formal model.
-
B.
hasHodgeStructure
Indicates that one mathematical object is endowed with, or related to another via, a Hodge structure defining its decomposition into Hodge components.
-
C.
hasSignificantStructure
Indicates that an entity possesses a structure or internal organization that is notably complex, important, or meaningful in a given context.
-
D.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
-
E.
hasLatticeStructure
Indicates that one entity possesses or exhibits a lattice structure, meaning its elements are partially ordered such that any two elements have well-defined least upper and greatest lower bounds.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582cce608190b5324b30f349a3ff |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e73597b51c8190aeff27f4779b82f3 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 8:45 p.m.