Triple
T25743240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | quantum cascade laser |
E648274
|
entity |
| Predicate | emissionPolarization |
P38744
|
FINISHED |
| Object | transverse magnetic (TM) |
—
|
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: transverse magnetic (TM) | Statement: [quantum cascade laser, emissionPolarization, transverse magnetic (TM)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emissionPolarization Context triple: [quantum cascade laser, emissionPolarization, transverse magnetic (TM)]
-
A.
polarizationModes
chosen
Indicates the specific polarization states or configurations associated with a signal, wave, or optical/electromagnetic system.
-
B.
electronBeamPolarization
Indicates the orientation and degree of alignment of the spins or directions of electrons within an electron beam.
-
C.
positronBeamPolarization
Indicates the degree and orientation of the spin alignment (polarization) of a beam of positrons in an experiment or system.
-
D.
hasPolarCoverage
Indicates that an entity includes or provides coverage, presence, or applicability in polar regions.
-
E.
polarizationLevel
Indicates the degree or intensity of polarization present in a given context, such as between opinions, groups, or signals.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1c691881908f2ab63b812d978a |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 3:47 a.m.