Triple
T19857572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venera 4 |
E477172
|
entity |
| Predicate | atmosphericCompositionMeasured |
P26038
|
FINISHED |
| Object | high concentration of carbon dioxide |
—
|
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: high concentration of carbon dioxide | Statement: [Venera 4, atmosphericCompositionMeasured, high concentration of carbon dioxide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: atmosphericCompositionMeasured Context triple: [Venera 4, atmosphericCompositionMeasured, high concentration of carbon dioxide]
-
A.
secondaryAtmosphericConstituent
Indicates that an entity has a specified substance as a non-primary (secondary) component of its atmosphere.
-
B.
hasMainAtmosphericComponent
Indicates that one entity has another entity as the primary constituent of its atmosphere.
-
C.
atmosphericStudyType
Indicates the specific kind or category of study being conducted on the atmosphere or atmospheric phenomena.
-
D.
atmosphericProbe
Indicates that an entity functions as or is used as an atmospheric probe, i.e., a device or object deployed to measure or analyze conditions in an atmosphere.
-
E.
hasAtmosphericFeature
chosen
Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.