Triple
T5229615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirac field |
E118074
|
entity |
| Predicate | hasDegreesOfFreedom |
P28226
|
FINISHED |
| Object | four complex components in 3+1 dimensions |
—
|
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: four complex components in 3+1 dimensions | Statement: [Dirac field, hasDegreesOfFreedom, four complex components in 3+1 dimensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDegreesOfFreedom Context triple: [Dirac field, hasDegreesOfFreedom, four complex components in 3+1 dimensions]
-
A.
hasDegreeOfFreedom
chosen
Indicates that one entity possesses a specific independent parameter or mode in which it can vary or move relative to another entity or within a system.
-
B.
hasDimensionality
Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
-
C.
hasDegreeLength
Indicates that something possesses a length measured in degrees, typically expressing angular extent or size.
-
D.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
-
E.
isDegreeOf
Indicates that one entity is an academic or professional degree held, pursued, or associated with 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_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. |
Created at: March 20, 2026, 1:48 p.m.