Triple
T21665968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedra Furada |
E534716
|
entity |
| Predicate | photoMotive |
P121927
|
FINISHED |
| Object | sun framed inside the arch opening |
—
|
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: sun framed inside the arch opening | Statement: [Pedra Furada, photoMotive, sun framed inside the arch opening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photoMotive Context triple: [Pedra Furada, photoMotive, sun framed inside the arch opening]
-
A.
hasPhotogenicFeature
chosen
Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
-
B.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
C.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from another entity.
-
D.
photographyGenre
Indicates the specific genre or style of photography that characterizes a photographic work or activity.
-
E.
assistingPhotographer
Indicates that one entity is helping or supporting a photographer in carrying out photographic work or related tasks.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0c236881909ffaefea8601b1c2 |
completed | April 27, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.