Triple
T30327617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Worlds |
E771382
|
entity |
| Predicate | depictionWorld2 |
P23992
|
FINISHED |
| Object | world on the water surface (floating leaves) |
—
|
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: world on the water surface (floating leaves) | Statement: [Three Worlds, depictionWorld2, world on the water surface (floating leaves)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictionWorld2 Context triple: [Three Worlds, depictionWorld2, world on the water surface (floating leaves)]
-
A.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
-
B.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
depictionContext
chosen
Indicates the situational or environmental setting in which something is depicted or represented.
-
D.
depictsCountry
Indicates that one entity visually represents or portrays a specific country.
-
E.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
- 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 29, 2026, 7:53 p.m.