Triple
T16308598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Landscape with Fishermen |
E395985
|
entity |
| Predicate | portraysEnvironment |
P853
|
FINISHED |
| Object | rural setting |
—
|
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: rural setting | Statement: [River Landscape with Fishermen, portraysEnvironment, rural setting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysEnvironment Context triple: [River Landscape with Fishermen, portraysEnvironment, rural setting]
-
A.
environmentalMedium
Indicates the environmental context or medium (such as air, water, or soil) through which a substance, effect, or process occurs or is present.
-
B.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
C.
secondaryEnvironment
Indicates that an entity is associated with an additional or supporting environment distinct from its primary one.
-
D.
environmentScale
Indicates the relative size, extent, or magnitude of an environment in which entities or processes exist or operate.
-
E.
portraysState
Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d776808190a7c9918477f07216 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.