Triple
T23250738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astra 19.2°E |
E581723
|
entity |
| Predicate | signalPolarization |
P38744
|
FINISHED |
| Object | horizontal polarization |
—
|
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: horizontal polarization | Statement: [Astra 19.2°E, signalPolarization, horizontal polarization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signalPolarization Context triple: [Astra 19.2°E, signalPolarization, horizontal polarization]
-
A.
polarizationModes
chosen
Indicates the specific polarization states or configurations associated with a signal, wave, or optical/electromagnetic system.
-
B.
signalPolarity
Indicates the directional orientation or sign (positive or negative) of a signal relative to a defined reference.
-
C.
signalPolarityConvention
Indicates the convention used to define which signal polarity (e.g., positive vs. negative or active-high vs. active-low) corresponds to a given logical or functional state in a system.
-
D.
hasPolarSetting
Indicates that something is configured or oriented according to a polar coordinate or polar reference system.
-
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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f5aa9081909775fb7f7dc660b3 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.