Triple
T10828095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python logo with two snakes |
E255543
|
entity |
| Predicate | isSymmetricAlong |
P27173
|
FINISHED |
| Object | diagonal axis |
—
|
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: diagonal axis | Statement: [Python logo with two snakes, isSymmetricAlong, diagonal axis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSymmetricAlong Context triple: [Python logo with two snakes, isSymmetricAlong, diagonal axis]
-
A.
isSymmetricAbout
chosen
Indicates that one entity is a mirror image of another with respect to a specified axis, point, or plane of symmetry.
-
B.
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.
-
C.
isSymmetrical
Indicates that an object, pattern, or configuration remains unchanged or mirrored when transformed by a symmetry operation such as reflection, rotation, or inversion.
-
D.
testsSymmetry
Indicates that one entity evaluates or verifies whether a relationship or property holds identically in both directions between two entities.
-
E.
hasSymmetryType
Indicates that one entity possesses a specific kind or pattern of symmetry characterized or classified by the other entity.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d3eab88190b30a3025b6b2b0bc |
completed | April 9, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.