Triple
T26983947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbaye de Sénanque |
E679680
|
entity |
| Predicate | mainPhotographicMotive |
P9792
|
FINISHED |
| Object | abbey façade with lavender fields in foreground |
—
|
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: abbey façade with lavender fields in foreground | Statement: [Abbaye de Sénanque, mainPhotographicMotive, abbey façade with lavender fields in foreground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainPhotographicMotive Context triple: [Abbaye de Sénanque, mainPhotographicMotive, abbey façade with lavender fields in foreground]
-
A.
isPhotographicSubject
chosen
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
B.
hasPhotographicSignificance
Indicates that something holds notable importance or relevance in the context of photography, such as for documentation, artistic value, or visual record.
-
C.
photographyGenre
Indicates the specific genre or style of photography that characterizes a photographic work or activity.
-
D.
depictsMotive
Indicates that one entity visually represents or illustrates the motive, intention, or underlying reason associated with another entity or action.
-
E.
missPhotogenicWinner
Indicates that an entity is the winner of a Miss Photogenic title or award in a given context.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 6:47 a.m.