Triple
T6832899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coulomb's law |
E157380
|
entity |
| Predicate | vectorForm |
P6646
|
FINISHED |
| Object | F⃗ = (1 / 4πϵ0) (q1 q2 / r^2) r̂ |
—
|
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: F⃗ = (1 / 4πϵ0) (q1 q2 / r^2) r̂ | Statement: [Coulomb's law, vectorForm, F⃗ = (1 / 4πϵ0) (q1 q2 / r^2) r̂]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vectorForm Context triple: [Coulomb's law, vectorForm, F⃗ = (1 / 4πϵ0) (q1 q2 / r^2) r̂]
-
A.
vector
chosen
Indicates that one entity is a vector associated with, representing, or characterizing another entity (such as a quantity with magnitude and direction, or a carrier/representative of something).
-
B.
simplifiedForm
Indicates that one entity is a reduced or less complex version of another, preserving essential meaning while omitting detail or complexity.
-
C.
generalizedForm
Indicates that one entity is a more abstract, generalized version or broader form of another entity.
-
D.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
-
E.
operationalForm
Indicates that one entity is the specific operational or executable form of another, more abstract 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.