Triple
T29398871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Grand Canal with the Rialto Bridge |
E745579
|
entity |
| Predicate | depictsArchitecturalFeature |
P6684
|
FINISHED |
| Object | Rialto Bridge |
—
|
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: Rialto Bridge | Statement: [The Grand Canal with the Rialto Bridge, depictsArchitecturalFeature, Rialto Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsArchitecturalFeature Context triple: [The Grand Canal with the Rialto Bridge, depictsArchitecturalFeature, Rialto Bridge]
-
A.
hasArchitecturalFeature
chosen
Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
-
B.
depictsBuildingType
Indicates that one entity visually represents or portrays a specific type or category of building associated with another entity.
-
C.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
-
D.
architecturalSymbol
Indicates that one entity serves as a symbolic or emblematic representation of another within an architectural context.
-
E.
buildingDepicted
Indicates that one entity visually represents or shows an image of a particular building.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 28, 2026, 2:49 p.m.