Triple
T19543100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venera 10 |
E488958
|
entity |
| Predicate | transmittedFromSurface |
P4594
|
FINISHED |
| Object | television images |
—
|
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: television images | Statement: [Venera 10, transmittedFromSurface, television images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transmittedFromSurface Context triple: [Venera 10, transmittedFromSurface, television images]
-
A.
transmittedFrom
chosen
Indicates that something (such as information, a signal, or a disease) has been passed or conveyed from one source entity to another.
-
B.
transmittedIn
Indicates that something (such as information, a signal, or a disease) is passed or conveyed within or through a particular medium, environment, or context.
-
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.
targetSurface
Indicates the surface or area that an action, effect, or object is directed at or intended to impact.
-
E.
usesSurface
Indicates that one entity employs or interacts with another entity as a surface or platform for its action or function.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e638750b288190aecdb0e18a1add62 |
completed | April 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.