Triple
T20946095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sphere of Mars |
E515846
|
entity |
| Predicate | visionForm |
P26123
|
FINISHED |
| Object | luminous cross of souls |
—
|
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: luminous cross of souls | Statement: [Sphere of Mars, visionForm, luminous cross of souls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visionForm Context triple: [Sphere of Mars, visionForm, luminous cross of souls]
-
A.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
-
B.
visionOrSign
chosen
Indicates a relationship where something is perceived or presented as a vision, sign, or symbolic manifestation, often conveying a message, omen, or divine indication.
-
C.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
D.
viewOnForms
Indicates that one entity has a particular perspective, opinion, or stance regarding forms, form-related processes, or form usage.
-
E.
vision
Indicates that an entity perceives another entity or object visually, using sight.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad7f67481908675e76736f5e0c3 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:56 p.m.