Triple
T32449086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saturn's A ring |
E829228
|
entity |
| Predicate | separationRegion |
P98900
|
FINISHED |
| Object | Cassini Division |
—
|
NE NERFINISHED |
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: Cassini Division | Statement: [Saturn's A ring, separationRegion, Cassini Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separationRegion Context triple: [Saturn's A ring, separationRegion, Cassini Division]
-
A.
separatedRegion
chosen
Indicates that one region is distinct from and not contiguous with another region, with a clear separation between them.
-
B.
separatedAsRegion
Indicates that one entity is distinguished or partitioned from others as a distinct region or area.
-
C.
separatesLinguisticRegions
Indicates that one entity serves as a boundary or divider between distinct linguistic regions or language areas.
-
D.
typeOfSeparation
Indicates the specific manner or category of separation that exists or occurred between entities.
-
E.
separatesTerritoryOf
Indicates that one entity serves as a boundary or divider between the territories or domains of two other entities.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2e822a88190a7b32d03127a2025 |
completed | May 3, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:56 a.m.