Triple
T26253261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | von Neumann neighborhood |
E656652
|
entity |
| Predicate | isIsotropicWithRespectTo |
P160413
|
FINISHED |
| Object | Manhattan distance |
—
|
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: Manhattan distance | Statement: [von Neumann neighborhood, isIsotropicWithRespectTo, Manhattan distance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIsotropicWithRespectTo Context triple: [von Neumann neighborhood, isIsotropicWithRespectTo, Manhattan distance]
-
A.
isIsotropic
Indicates that a property or behavior is identical in all directions, showing no directional dependence.
-
B.
isMaximallySymmetric
Indicates that the subject exhibits the highest possible degree of symmetry allowed by the relevant structure, constraints, or context.
-
C.
isSymmetric
Indicates that a relationship holds in both directions between two entities, so if it applies from A to B, it also applies from B to A.
-
D.
isSymmetricAbout
Indicates that one entity is a mirror image of another with respect to a specified axis, point, or plane of symmetry.
-
E.
isRightEuclidean
Indicates that whenever an element is related to two others, those two others must also be related to each other in the same way (i.e., the relation is right Euclidean).
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dcc29cc81908880bd825cb12141 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 9:07 p.m.