Triple
T34585638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S^2 × R geometry |
E888036
|
entity |
| Predicate | hasUnderlyingManifold |
P147447
|
FINISHED |
| Object | S^2 × R |
—
|
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: S^2 × R | Statement: [S^2 × R geometry, hasUnderlyingManifold, S^2 × R]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingManifold Context triple: [S^2 × R geometry, hasUnderlyingManifold, S^2 × R]
-
A.
hasManifoldStructure
chosen
Indicates that one entity endows or possesses a manifold structure on or over another entity.
-
B.
isSmoothManifold
Indicates that the entity is a manifold whose local structure is modeled on smooth Euclidean space and whose transition maps are infinitely differentiable.
-
C.
hasDimensionality
Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
-
D.
isParacompactManifold
Indicates that a manifold has the topological property of being paracompact, meaning every open cover admits a locally finite open refinement.
-
E.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 2:03 a.m.