Triple
T2706504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WASP-96b |
E59352
|
entity |
| Predicate | equilibriumTemperatureRelativeToEarth |
P42463
|
FINISHED |
| Object | much hotter than Earth |
—
|
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: much hotter than Earth | Statement: [WASP-96b, equilibriumTemperatureRelativeToEarth, much hotter than Earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equilibriumTemperatureRelativeToEarth Context triple: [WASP-96b, equilibriumTemperatureRelativeToEarth, much hotter than Earth]
-
A.
equilibriumTemperature
Indicates the temperature at which a system’s heat exchange balances so that no net change in its thermal state occurs.
-
B.
surfaceTemperature_K
Indicates the temperature of a surface expressed in kelvins.
-
C.
luminosityRelativeToSun
Indicates how bright an object is compared to the Sun, expressed as a ratio of their luminosities.
-
D.
minSurfaceTemperature
Indicates the lowest temperature value observed or allowed on the surface of an object or environment.
-
E.
hasAverageSurfaceTemperature
Indicates that an entity is associated with a specific mean value of its surface temperature over a defined period or condition.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda725f24819090e8d936b3d2d5bc |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:55 p.m.