Triple
T1463133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauss's law for magnetism |
E31558
|
entity |
| Predicate | coordinateForm |
P2054
|
FINISHED |
| Object | ∂B_x/∂x + ∂B_y/∂y + ∂B_z/∂z = 0 |
—
|
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: ∂B_x/∂x + ∂B_y/∂y + ∂B_z/∂z = 0 | Statement: [Gauss's law for magnetism, coordinateForm, ∂B_x/∂x + ∂B_y/∂y + ∂B_z/∂z = 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinateForm Context triple: [Gauss's law for magnetism, coordinateForm, ∂B_x/∂x + ∂B_y/∂y + ∂B_z/∂z = 0]
-
A.
coordinates
Indicates that one entity organizes, directs, or harmonizes the actions or efforts of another entity or group to achieve a unified outcome.
-
B.
coordinateSystem
chosen
Indicates that one entity defines or uses a particular spatial or reference coordinate system in relation to another entity.
-
C.
compositionForm
Indicates the structural or organizational form in which something is composed or arranged.
-
D.
coordinateSymbols
Indicates a relationship where one symbol is aligned or matched with another symbol in a coordinated or corresponding way.
-
E.
typicalForm
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5b89708819084fb9ba4ff293b8b |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48121e48190946c23c583e5fb64 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.