Triple
T7600504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SU(3) |
E179969
|
entity |
| Predicate | hasPhysicalSymmetryRole |
P12998
|
FINISHED |
| Object | color SU(3) gauge symmetry |
—
|
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: color SU(3) gauge symmetry | Statement: [SU(3), hasPhysicalSymmetryRole, color SU(3) gauge symmetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalSymmetryRole Context triple: [SU(3), hasPhysicalSymmetryRole, color SU(3) gauge symmetry]
-
A.
hasSymmetryType
Indicates that one entity possesses a specific kind or pattern of symmetry characterized or classified by the other entity.
-
B.
localSymmetry
Indicates that an entity exhibits symmetry within a localized region or subset of its structure, rather than across its entire extent.
-
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.
isSymmetricAbout
Indicates that one entity is a mirror image of another with respect to a specified axis, point, or plane of symmetry.
-
E.
usesSymmetryGroup
chosen
Indicates that one entity employs or is based on a particular symmetry group in its structure, behavior, or formulation.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d9c55c8190841f3bf3225c096a |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.