Triple
T26296560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Io plasma torus |
E661433
|
entity |
| Predicate | electronTemperature |
P179463
|
FINISHED |
| Object | approximately 5 electronvolts to 100 electronvolts |
—
|
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 5 electronvolts to 100 electronvolts | Statement: [Io plasma torus, electronTemperature, approximately 5 electronvolts to 100 electronvolts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electronTemperature Context triple: [Io plasma torus, electronTemperature, approximately 5 electronvolts to 100 electronvolts]
-
A.
hasEffectiveTemperature
Indicates that an entity (typically a star or other astronomical object) possesses a specific effective surface temperature characterizing its emitted radiation.
-
B.
equilibriumTemperature
Indicates the temperature at which a system’s heat exchange balances so that no net change in its thermal state occurs.
-
C.
surfaceTemperature_K
Indicates the temperature of a surface expressed in kelvins.
-
D.
photosphereTemperature_K
Indicates the temperature, measured in kelvins, of an object's photosphere where most of its visible light is emitted.
-
E.
approximatePlanckianTemperature
Indicates that the temperature of an entity is close to that of an ideal blackbody radiator described by Planck’s law.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 26, 2026, 10:12 p.m.