Triple
T4537368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | uncertainty principle |
E107438
|
entity |
| Predicate | hasMinimumUncertaintyState |
P57927
|
FINISHED |
| Object | coherent state |
—
|
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: coherent state | Statement: [uncertainty principle, hasMinimumUncertaintyState, coherent state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinimumUncertaintyState Context triple: [uncertainty principle, hasMinimumUncertaintyState, coherent state]
-
A.
hasQuantumNumber
Indicates that an entity (such as a particle or state) is associated with a specific quantum number value characterizing one of its quantized properties.
-
B.
isQuantumOf
Indicates that one entity represents a discrete, indivisible unit or packet of the other entity in a quantized relationship.
-
C.
hasGroundState
Indicates that an entity possesses a lowest-energy, most stable state in its energy configuration.
-
D.
hasUncertainty
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
E.
hasTypicalSpinState
Indicates the usual or characteristic spin quantum state that an entity (such as a particle or system) most commonly exhibits under normal conditions.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b78b8481909d79131723d4be22 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:04 p.m.