Triple
T35297441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaavi |
E1019409
|
entity |
| Predicate | hasTraditionalCountrysideLandscapes |
P186121
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kaavi, hasTraditionalCountrysideLandscapes, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalCountrysideLandscapes Context triple: [Kaavi, hasTraditionalCountrysideLandscapes, yes]
-
A.
hasRuralLandscapeType
Indicates that an entity is associated with or characterized by a specific type of rural landscape.
-
B.
isScenicCountryside
chosen
Indicates that a location or area is characterized by visually pleasing, rural landscape features typically associated with the countryside.
-
C.
hasTraditionalFarmBuildings
Indicates that an entity possesses or includes buildings typically associated with traditional farming activities.
-
D.
hasRuralHeritage
Indicates that an entity possesses characteristics, traditions, or history associated with rural life or countryside heritage.
-
E.
hasLandscapeFeatures
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
Created at: May 3, 2026, 4:03 p.m.