Triple
T17752423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SU(2) |
E443145
|
entity |
| Predicate | hasUnitarityCondition |
P93944
|
FINISHED |
| Object | U†U = I |
—
|
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: U†U = I | Statement: [SU(2), hasUnitarityCondition, U†U = I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnitarityCondition Context triple: [SU(2), hasUnitarityCondition, U†U = I]
-
A.
isUnitary
chosen
Indicates that an entity (such as an operator, matrix, or transformation) preserves inner products and norms, typically meaning its inverse equals its adjoint (or conjugate transpose).
-
B.
hasMinimumUncertaintyState
Indicates that the related entity is in a state where its uncertainty is minimized according to the defined criteria or model.
-
C.
isQuantumOf
Indicates that one entity represents a discrete, indivisible unit or packet of the other entity in a quantized relationship.
-
D.
isUnimodular
Indicates that a matrix (or linear transformation) has determinant ±1, preserving volume and invertibility over the integers.
-
E.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841b3ccc8190b3241b3e0fa4b2e8 |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:10 a.m.