Triple
T4461364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wigner–Eckart theorem |
E98261
|
entity |
| Predicate | dynamicPartGivenBy |
P3573
|
FINISHED |
| Object | reduced matrix element |
—
|
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: reduced matrix element | Statement: [Wigner–Eckart theorem, dynamicPartGivenBy, reduced matrix element]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dynamicPartGivenBy Context triple: [Wigner–Eckart theorem, dynamicPartGivenBy, reduced matrix element]
-
A.
partOfType
Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another entity.
-
B.
deltaPartOf
Indicates that one entity represents a changed, differing, or modified portion of another entity, rather than the whole.
-
C.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
D.
partDType
Indicates that one entity is classified as a specific subtype or category (type) of a part in relation to another entity.
-
E.
partlyDefinedBy
chosen
Indicates that one entity’s nature, role, or characteristics are only partially determined or specified by 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35674f718819089388c3924dd1414 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:34 p.m.