Triple
T34585382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W and Z bosons |
E888029
|
entity |
| Predicate | transformUnder |
P28224
|
FINISHED |
| Object | SU(2)_L 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: SU(2)_L gauge symmetry | Statement: [W and Z bosons, transformUnder, SU(2)_L gauge symmetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformUnder Context triple: [W and Z bosons, transformUnder, SU(2)_L gauge symmetry]
-
A.
transformsUnder
chosen
Indicates a relationship where one entity changes form, state, or structure when subjected to the influence, conditions, or operation specified by another entity.
-
B.
transformType
Indicates that one entity is converted or changed from its original form into another specified type or form.
-
C.
transformsCharacterInto
Indicates that one entity causes or undergoes a change that turns a character into another form, state, or identity.
-
D.
usesTransformation
Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
-
E.
transformedWith
Indicates that one entity has been changed, altered, or converted into a different state, form, or representation through the use or application of another specified entity (such as a tool, method, or process).
- 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_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
Created at: May 1, 2026, 2:03 a.m.