Triple
T23006213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glauber coherent states |
E572775
|
entity |
| Predicate | minimize |
P10674
|
FINISHED |
| Object | Heisenberg uncertainty relation for field quadratures |
—
|
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: Heisenberg uncertainty relation for field quadratures | Statement: [Glauber coherent states, minimize, Heisenberg uncertainty relation for field quadratures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimize Context triple: [Glauber coherent states, minimize, Heisenberg uncertainty relation for field quadratures]
-
A.
minimizedBy
chosen
Indicates that one entity serves to reduce, lessen, or make as small as possible the value, effect, or impact of another entity.
-
B.
minimality
Indicates that something has the smallest or least possible value, size, or complexity among a relevant set, such that no strictly smaller or simpler alternative satisfies the same conditions.
-
C.
minimizesRoleOf
Indicates that one entity reduces, downplays, or diminishes the importance, influence, or contribution of another entity’s role.
-
D.
minimalNorm
Indicates that among a set of possible values or solutions, this one has the smallest norm (magnitude) according to a specified norm measure.
-
E.
reduces
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835706dc8190b3f9743c0f336bb2 |
completed | April 29, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.