Triple
T20972880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sphere of Venus |
E516546
|
entity |
| Predicate | moralOrderLevel |
P142311
|
FINISHED |
| Object | lower heaven of Paradiso |
—
|
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: lower heaven of Paradiso | Statement: [Sphere of Venus, moralOrderLevel, lower heaven of Paradiso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralOrderLevel Context triple: [Sphere of Venus, moralOrderLevel, lower heaven of Paradiso]
-
A.
moralOrderType
Indicates the type or category of moral order or ethical framework that characterizes or governs a given situation or relationship.
-
B.
moralCriterion
Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
-
C.
moralStatus
Indicates the ethical standing or degree of moral consideration that one entity has in relation to another.
-
D.
moralAttitude
Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
-
E.
moralTendency
Indicates a general inclination or propensity of an entity to act in ways judged as morally right or wrong.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba161d88190b8905891f449004e |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:45 p.m.