Triple
T3487967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorentz force |
E73654
|
entity |
| Predicate | symbolForElectricField |
P49067
|
FINISHED |
| Object | E |
—
|
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: E | Statement: [Lorentz force, symbolForElectricField, E]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolForElectricField Context triple: [Lorentz force, symbolForElectricField, E]
-
A.
associatedElectromagneticPotential
Indicates that one entity stands in the role of the electromagnetic potential (e.g., scalar or vector potential) that is mathematically or physically associated with another entity.
-
B.
magneticField
Indicates the presence, strength, or configuration of a magnetic field associated with an entity or region.
-
C.
magneticFieldStrength
Indicates the intensity or magnitude of a magnetic field associated with an entity or at a specific location.
-
D.
electricalConductivity
Indicates that one entity has the ability to conduct electric current through it, typically quantified as a measure of how easily charge flows within that material or medium.
-
E.
symbolForLorentzFactor
Indicates that one entity is used as the symbolic representation of the Lorentz factor associated with another entity or context.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb9193688190aa0cbf87a7b99446 |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0935ac8190bfa8a8bd3dcd3301 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:18 p.m.