Triple
T6111242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peierls bracket |
E136243
|
entity |
| Predicate | quantizationRole |
P62499
|
FINISHED |
| Object | provides a route from classical to quantum commutators |
—
|
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: provides a route from classical to quantum commutators | Statement: [Peierls bracket, quantizationRole, provides a route from classical to quantum commutators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quantizationRole Context triple: [Peierls bracket, quantizationRole, provides a route from classical to quantum commutators]
-
A.
usedToQuantize
chosen
Indicates that one entity serves as the quantization method, scheme, or tool applied to another entity.
-
B.
quantificationType
Indicates the specific kind or category of quantity or measurement being applied in a given context.
-
C.
isQuantizedBy
Indicates that a continuous or variable quantity is represented or constrained using discrete units, levels, or steps defined by another entity.
-
D.
qualifyingRole
Indicates that an entity holds a role, position, or function that qualifies or entitles it (or another entity) to participate in a specified activity, status, or relationship.
-
E.
isQuantizationOf
Indicates that one entity is a quantized or discretized version of another, typically transforming a continuous model, signal, or system into a discrete counterpart.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbbbea88190b889a7c30af1d71a |
completed | March 22, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.