Triple
T35364664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demmin (district) |
E1021596
|
entity |
| Predicate | hadLandscapeType |
P7342
|
FINISHED |
| Object | rural 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: rural landscape | Statement: [Demmin (district), hadLandscapeType, rural landscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadLandscapeType Context triple: [Demmin (district), hadLandscapeType, rural landscape]
-
A.
hasLandscapeType
chosen
Indicates that an entity possesses or is characterized by a particular type or category of landscape.
-
B.
hasLandscapeUse
Indicates that something is used or intended to be used within a landscape or landscaping context.
-
C.
hasLandscapeProtection
Indicates that an area or object is subject to legal or formal measures aimed at preserving its landscape or scenic character.
-
D.
hasLandscapeUseHistory
Indicates that an entity has an associated record or account of how its landscape has been used or managed over time.
-
E.
isPartOfLandscape
Indicates that something forms a component or feature within a larger landscape or natural environment.
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.