Triple
T6426353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triton |
E128066
|
entity |
| Predicate | hasAtmosphericPressure |
P2032
|
FINISHED |
| Object | about 14 microbar |
—
|
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: about 14 microbar | Statement: [Triton, hasAtmosphericPressure, about 14 microbar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAtmosphericPressure Context triple: [Triton, hasAtmosphericPressure, about 14 microbar]
-
A.
hasAtmosphericPressureAtSeaLevel
chosen
Indicates that an entity possesses a specific value of atmospheric pressure measured at sea level.
-
B.
hasAtmosphere
Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
-
C.
hasAtmosphericFeature
Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
-
D.
hasGeneralAtmosphere
Indicates that one entity is characterized by or associated with a particular overall mood, tone, or ambient quality provided by another entity.
-
E.
usesAtmosphereOf
Indicates that one entity makes use of or operates within the atmospheric conditions or composition associated with another entity.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691f944c81909d4e5d8ef9e494b6 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:44 p.m.