Triple
T11357493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starrucca Viaduct |
E268995
|
entity |
| Predicate | mediaTypeDepictions |
P131
|
FINISHED |
| Object | paintings |
—
|
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: paintings | Statement: [Starrucca Viaduct, mediaTypeDepictions, paintings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeDepictions Context triple: [Starrucca Viaduct, mediaTypeDepictions, paintings]
-
A.
mediaDepictionAs
Indicates that one entity is portrayed or represented as another entity or in a particular way within some medium (e.g., image, film, text).
-
B.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
depictsMedium
Indicates that one entity visually represents or portrays the medium or material of another entity.
-
D.
imageDepictedIn
Indicates that a particular image is shown, represented, or included within another resource or context.
-
E.
mediaType
chosen
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.