Triple
T6088167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirac magnetic monopoles |
E135690
|
entity |
| Predicate | hasQuantizationCondition |
P68585
|
FINISHED |
| Object | eg = nħc/2 |
—
|
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: eg = nħc/2 | Statement: [Dirac magnetic monopoles, hasQuantizationCondition, eg = nħc/2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuantizationCondition Context triple: [Dirac magnetic monopoles, hasQuantizationCondition, eg = nħc/2]
-
A.
isQuantizedBy
Indicates that a continuous or variable quantity is represented or constrained using discrete units, levels, or steps defined by another entity.
-
B.
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.
-
C.
usedToQuantize
Indicates that one entity serves as the quantization method, scheme, or tool applied to another entity.
-
D.
hasQualifier
Indicates that one entity serves as a qualifier or modifier that further specifies or restricts the meaning or scope of another entity or statement.
-
E.
hasNumberOfConditions
Indicates that an entity is associated with a specific count of conditions it has or is subject to.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.