Triple
T19348592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venera 8 |
E483949
|
entity |
| Predicate | transmissionDurationFromSurface |
P13895
|
FINISHED |
| Object | about 50 minutes |
—
|
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: about 50 minutes | Statement: [Venera 8, transmissionDurationFromSurface, about 50 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transmissionDurationFromSurface Context triple: [Venera 8, transmissionDurationFromSurface, about 50 minutes]
-
A.
transmissionDuration
chosen
Indicates the length of time over which a transmission or transfer of data, signal, or content occurs.
-
B.
transmissionFactor
Indicates how strongly or efficiently something is passed or transmitted from one entity to another.
-
C.
actualMissionDurationOnSurface
Indicates the length of time that a mission actually spent on the surface, as opposed to planned or total mission duration.
-
D.
transmissionType
Indicates the method or medium through which something is transmitted or conveyed from one entity to another.
-
E.
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.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185d54c0819081715ca13a5806b4 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.