Triple
T20050935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venera 16 |
E499194
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Venera 15 |
—
|
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 15 | Statement: [Venera 16, collaboratedWith, Venera 15]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venera 15 Context triple: [Venera 16, collaboratedWith, Venera 15]
-
A.
Venera 15
chosen
Venera 15 was a Soviet spacecraft launched in 1983 that orbited Venus to conduct detailed radar mapping of the planet’s northern hemisphere.
-
B.
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.
-
C.
Venera 14
Venera 14 was a Soviet space probe launched in 1981 that successfully landed on Venus, conducting experiments and transmitting data and images from the planet’s surface.
-
D.
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.
-
E.
Venera 9
Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632d9d888190b0985bb5ed989311 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.