Triple
T26981581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | För levande och döda |
E679613
|
entity |
| Predicate | hasImagerySource |
P122998
|
FINISHED |
| Object | Nordic landscape |
—
|
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: Nordic landscape | Statement: [För levande och döda, hasImagerySource, Nordic landscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImagerySource Context triple: [För levande och döda, hasImagerySource, Nordic landscape]
-
A.
hasImageryFrom
chosen
Indicates that one entity contains, incorporates, or is derived from the imagery produced or provided by another entity.
-
B.
hasImageryType
Indicates that one entity is associated with a specific kind or category of imagery (such as visual style, medium, or representation type) used to depict or describe it.
-
C.
hasColorImagery
Indicates that something includes or is characterized by visual elements emphasizing specific colors or color-based symbolism.
-
D.
hasDiscoveryImageSource
Indicates the source or origin (such as a survey, instrument, or dataset) from which the discovery image of an entity was obtained.
-
E.
hasSymbolicImagery
Indicates that one entity incorporates or is associated with symbolic visual elements representing ideas, concepts, or themes related to another entity.
- 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_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 6:46 a.m.