Triple
T6675108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna 9 |
E151829
|
entity |
| Predicate | imageTransmissionMethod |
P7413
|
FINISHED |
| Object | facsimile television system |
—
|
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: facsimile television system | Statement: [Luna 9, imageTransmissionMethod, facsimile television system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageTransmissionMethod Context triple: [Luna 9, imageTransmissionMethod, facsimile television system]
-
A.
transmissionType
chosen
Indicates the method or medium through which something is transmitted or conveyed from one entity to another.
-
B.
transmission
Indicates the transfer or conveyance of something (such as information, energy, or material) from one entity to another.
-
C.
isTransmittedBy
Indicates that something (such as information, a signal, or a disease) is passed or conveyed from one entity to another through a specified agent or medium.
-
D.
imageEncoderType
Indicates the specific kind or configuration of encoder used to process and represent image data.
-
E.
transmissionTypeSupported
Indicates that a particular type of transmission is compatible with or can be used by a given system, device, or component.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:03 p.m.