Triple
T20114606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venera 11 |
E490423
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Venera 10 |
—
|
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 10 | Statement: [Venera 11, predecessor, Venera 10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venera 10 Context triple: [Venera 11, predecessor, Venera 10]
-
A.
Venera 10
chosen
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.
-
B.
Venera 9
Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface of Venus.
-
C.
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.
-
D.
Venera 12
Venera 12 was a Soviet space probe launched in 1978 as part of the Venera program to study Venus’s atmosphere and surface.
-
E.
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.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e3f2288190840d1eb431ac9a1b |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.