Triple
T29825925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Study of Perspective – St. Mark’s Square |
E757375
|
entity |
| Predicate | depictsPublicSpace |
P180637
|
FINISHED |
| Object | urban square |
—
|
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: urban square | Statement: [Study of Perspective – St. Mark’s Square, depictsPublicSpace, urban square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsPublicSpace Context triple: [Study of Perspective – St. Mark’s Square, depictsPublicSpace, urban square]
-
A.
sceneDepicts
Indicates that a scene visually represents or portrays a particular entity, event, or situation.
-
B.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
C.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
D.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
E.
nearPublicSpace
Indicates that one entity is located close to or in the immediate vicinity of a public space.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 29, 2026, 5:31 p.m.