Triple
T24050503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wollaston prism |
E595644
|
entity |
| Predicate | outputPolarizations |
P38744
|
FINISHED |
| Object | mutually orthogonal linear polarizations |
—
|
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: mutually orthogonal linear polarizations | Statement: [Wollaston prism, outputPolarizations, mutually orthogonal linear polarizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputPolarizations Context triple: [Wollaston prism, outputPolarizations, mutually orthogonal linear polarizations]
-
A.
polarizationModes
chosen
Indicates the specific polarization states or configurations associated with a signal, wave, or optical/electromagnetic system.
-
B.
hasPolarSetting
Indicates that something is configured or oriented according to a polar coordinate or polar reference system.
-
C.
hasPolarCoverage
Indicates that an entity includes or provides coverage, presence, or applicability in polar regions.
-
D.
electronBeamPolarization
Indicates the orientation and degree of alignment of the spins or directions of electrons within an electron beam.
-
E.
hasPolarRadius
Indicates that an entity possesses a specific radius measured from its center to its pole, typically used for spheroidal or planetary bodies.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9cfb914819091a3378518f9f28d |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:20 p.m.