Triple
T16630407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eratosthenes spiral |
E404062
|
entity |
| Predicate | canBeRenderedAs |
P27589
|
FINISHED |
| Object | computer-generated image |
—
|
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: computer-generated image | Statement: [Eratosthenes spiral, canBeRenderedAs, computer-generated image]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeRenderedAs Context triple: [Eratosthenes spiral, canBeRenderedAs, computer-generated image]
-
A.
canRender
Indicates that one entity has the capability or functionality to generate or display another entity in a visual or presentable form.
-
B.
canBeViewedAs
Indicates that one entity may be interpreted, treated, or understood as another entity or type under some perspective or conditions.
-
C.
canBeDepictedAs
chosen
Indicates that one entity is capable of being visually represented or illustrated in the form or style of another entity.
-
D.
renderedUnder
Indicates that one entity was produced, displayed, or executed within the authority, context, or environment provided by another entity.
-
E.
canBeEmbeddedIn
Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e4db5081908a6085f1bc2d65b8 |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.