Triple
T17218069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saorsat |
E417902
|
entity |
| Predicate | satelliteBand |
P126442
|
FINISHED |
| Object | Ka-band |
—
|
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: Ka-band | Statement: [Saorsat, satelliteBand, Ka-band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: satelliteBand Context triple: [Saorsat, satelliteBand, Ka-band]
-
A.
satelliteType
Indicates that one entity is classified as a specific type or category of satellite relative to another entity.
-
B.
satelliteSystem
Indicates a relationship where one system functions as a satellite or subordinate system orbiting, supporting, or depending on another primary system.
-
C.
observingBand
Indicates that an entity is observing or monitoring another entity using a specific spectral band or frequency range.
-
D.
typeOfSatelliteOperated
Indicates that one entity operates or manages a satellite of a specified type or category in relation to another entity.
-
E.
numberOfSatellites
Indicates the quantity of satellites that are associated with or orbit a given entity.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:38 a.m.