Triple
T19214946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venera 6 |
E480456
|
entity |
| Predicate | signalLostAtPressure |
P135007
|
FINISHED |
| Object | approximately 10–12 bar |
—
|
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: approximately 10–12 bar | Statement: [Venera 6, signalLostAtPressure, approximately 10–12 bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signalLostAtPressure Context triple: [Venera 6, signalLostAtPressure, approximately 10–12 bar]
-
A.
hasHumanPressure
Indicates that one entity exerts or experiences human-induced influence, stress, or impact in relation to another entity or environment.
-
B.
primarySystemPressure
Indicates the pressure value present in the main or primary system within a larger setup or process.
-
C.
overallPressureRatio
Indicates the ratio between the total outlet pressure and the total inlet pressure across a component or system, reflecting how much the pressure is increased or decreased overall.
-
D.
pressurization
Indicates the process of applying or maintaining pressure on or within an object, system, or environment.
-
E.
pressureDifferenceBetween
Indicates the magnitude and direction of the pressure difference that exists between two specified points or regions.
- F. None of above. chosen
Provenance (4 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa397c188190b85bcfd9afd8dce6 |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:22 p.m.