Triple
T5229476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirac matrices |
E118071
|
entity |
| Predicate | representationDependsOn |
P62492
|
FINISHED |
| Object | choice of basis |
—
|
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: choice of basis | Statement: [Dirac matrices, representationDependsOn, choice of basis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationDependsOn Context triple: [Dirac matrices, representationDependsOn, choice of basis]
-
A.
representationType
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
-
B.
representation
Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
-
C.
representedFrom
Indicates that one entity serves as a representation or depiction of another entity.
-
D.
representedTo
Indicates that one entity formally acted on behalf of or served as the representative of another entity in a given context or interaction.
-
E.
positionDependsOn
Indicates that the spatial or ordered position of one entity is determined or constrained by the position of another entity.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0093a88190aba381ba3f761408 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7aff0244819085c4799793ed0185 |
completed | March 20, 2026, 4:51 p.m. |
Created at: March 20, 2026, 1:48 p.m.