Triple
T19543112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venera 10 |
E488958
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Venera 9 |
—
|
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 9 | Statement: [Venera 10, precededBy, Venera 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venera 9 Context triple: [Venera 10, precededBy, Venera 9]
-
A.
Venera 9
chosen
Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface of Venus.
-
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 10
Venera 10 was a Soviet space probe that successfully orbited Venus and transmitted data from its surface as part of the USSR’s pioneering Venera program.
-
D.
Venera 11
Venera 11 was a Soviet space probe launched in 1978 as part of the Venera program to study Venus’s atmosphere and surface.
-
E.
Venera 13
Venera 13 was a Soviet space probe that successfully landed on Venus in 1982, transmitting the first color images and extensive data from the planet’s surface.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e638750b288190aecdb0e18a1add62 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.