Triple
T4800355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The First Harvest in the Wilderness |
E106817
|
entity |
| Predicate | depictsEnvironment |
P1581
|
FINISHED |
| Object | forested 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: forested landscape | Statement: [The First Harvest in the Wilderness, depictsEnvironment, forested landscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsEnvironment Context triple: [The First Harvest in the Wilderness, depictsEnvironment, forested landscape]
-
A.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
C.
depictedNear
Indicates that two entities are shown in close spatial proximity to each other within the same depiction or scene.
-
D.
environmentalMedium
Indicates the environmental context or medium (such as air, water, or soil) through which a substance, effect, or process occurs or is present.
-
E.
depictionContext
Indicates the situational or environmental setting in which something is depicted or represented.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6b40c29c8190adab3503f8ba0145 |
completed | March 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69bd622f88188190a51d52ccfad3d2dd |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:23 p.m.