Triple
T7900359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Story Sunlight |
E183434
|
entity |
| Predicate | depictsViewpoint |
P60678
|
FINISHED |
| Object | exterior view of upper story porch |
—
|
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: exterior view of upper story porch | Statement: [Second Story Sunlight, depictsViewpoint, exterior view of upper story porch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsViewpoint Context triple: [Second Story Sunlight, depictsViewpoint, exterior view of upper story porch]
-
A.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
B.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
C.
viewpointFrom
Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
-
D.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
E.
depictionAngle
chosen
Indicates the angle or viewpoint from which something is visually depicted or represented.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a3dc2208190a6fea93b60b8daca |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:02 p.m.