Triple
T3487910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poynting vector |
E73653
|
entity |
| Predicate | isOrthogonalTo |
P2055
|
FINISHED |
| Object | electric field in a plane electromagnetic wave in vacuum |
—
|
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: electric field in a plane electromagnetic wave in vacuum | Statement: [Poynting vector, isOrthogonalTo, electric field in a plane electromagnetic wave in vacuum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOrthogonalTo Context triple: [Poynting vector, isOrthogonalTo, electric field in a plane electromagnetic wave in vacuum]
-
A.
perpendicularTo
chosen
Indicates that one entity is oriented at a right angle (90 degrees) to another entity.
-
B.
orientedParallelTo
Indicates that one entity is parallel to another with a specified or consistent direction or orientation.
-
C.
isIsotropic
Indicates that a property or behavior is identical in all directions, showing no directional dependence.
-
D.
isInDirectionOf
Indicates that one entity is oriented or positioned toward the direction in which another entity lies.
-
E.
isProportionalTo
Indicates that one quantity varies in constant ratio to another, so when one changes, the other changes by a fixed multiplicative factor.
- 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_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. |
Created at: March 8, 2026, 3:18 p.m.