Triple
T942738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jupiter |
E20341
|
entity |
| Predicate | hasGreatRedSpotType |
P22028
|
FINISHED |
| Object | anticyclonic storm |
—
|
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: anticyclonic storm | Statement: [Jupiter, hasGreatRedSpotType, anticyclonic storm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGreatRedSpotType Context triple: [Jupiter, hasGreatRedSpotType, anticyclonic storm]
-
A.
hasRingSystem
Indicates that an entity possesses a ring-shaped structural system or configuration.
-
B.
hasDwarfPlanet
Indicates that one entity possesses or is associated with a dwarf planet as part of its system or domain.
-
C.
hasMeanRadius
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
D.
hasPlanet
Indicates that one entity possesses, contains, or is associated with a particular planet as part of its system or domain.
-
E.
hasNaturalSatellite
Indicates that one celestial body is orbited by another body that occurs naturally as its satellite.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a1a4888190997adf56eb761431 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b344f6f48190ba03ce593c94176b |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.