Triple
T19857591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venera 4 |
E477172
|
entity |
| Predicate | relatedMission |
P36268
|
FINISHED |
| Object | Venera 6 |
—
|
NE NERFINISHED |
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: Venera 6 | Statement: [Venera 4, relatedMission, Venera 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venera 6 Context triple: [Venera 4, relatedMission, Venera 6]
-
A.
Venera 6
chosen
Venera 6 was a Soviet space probe launched in 1969 to study the atmosphere of Venus during its descent.
-
B.
Venera 8
Venera 8 was a Soviet space probe that successfully landed on Venus in 1972 and transmitted data from its surface, contributing significantly to early Venus exploration.
-
C.
Venera 9
Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface of Venus.
-
D.
Venera 16
Venera 16 was a Soviet spacecraft launched in 1983 that, together with Venera 15, conducted detailed radar mapping of Venus’s northern hemisphere.
-
E.
Venera 5
Venera 5 was a Soviet space probe launched in 1969 as part of the Venera program to study the atmosphere and surface conditions of Venus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586cd8f08190b34c8886e8617255 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.