Triple
T10269860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chern–Simons theory |
E240804
|
entity |
| Predicate | gaugeInvarianceRequires |
P93041
|
FINISHED |
| Object | level quantization |
—
|
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: level quantization | Statement: [Chern–Simons theory, gaugeInvarianceRequires, level quantization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaugeInvarianceRequires Context triple: [Chern–Simons theory, gaugeInvarianceRequires, level quantization]
-
A.
gaugeCoupling
Indicates the strength of interaction between fields or particles as defined by a specific gauge symmetry in a physical theory.
-
B.
invariantOf
Indicates that one element is an invariant (a property or quantity that remains unchanged) with respect to another element, system, or transformation.
-
C.
invariantUnder
Indicates that a property, structure, or quantity remains unchanged when a specified transformation or operation is applied.
-
D.
isGaugeBosonOf
Indicates that one particle serves as the gauge boson mediating the fundamental interaction associated with another entity (such as a force or symmetry group).
-
E.
invariantType
Indicates that one entity has a type or classification that remains constant or unchanged under specified conditions or transformations.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d285812c8190ab910dc85c53eebf |
completed | April 7, 2026, 9:46 a.m. |
Created at: April 6, 2026, 11:35 a.m.