Triple
T1783546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraken Mare |
E39338
|
entity |
| Predicate | atmosphericContext |
P26038
|
FINISHED |
| Object | under Titan’s nitrogen–methane atmosphere |
—
|
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: under Titan’s nitrogen–methane atmosphere | Statement: [Kraken Mare, atmosphericContext, under Titan’s nitrogen–methane atmosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: atmosphericContext Context triple: [Kraken Mare, atmosphericContext, under Titan’s nitrogen–methane atmosphere]
-
A.
atmosphereStyle
Indicates the general mood, ambiance, or experiential character associated with a place, event, or environment.
-
B.
hasAtmosphere
Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
-
C.
hasAtmosphericFeature
chosen
Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
-
D.
secondaryAtmosphericConstituent
Indicates that an entity has a specified substance as a non-primary (secondary) component of its atmosphere.
-
E.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.