Triple
T27473759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauldre river system |
E693393
|
entity |
| Predicate | associatedWithLandscapeType |
P7342
|
FINISHED |
| Object | forested lowlands |
—
|
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 lowlands | Statement: [Sauldre river system, associatedWithLandscapeType, forested lowlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLandscapeType Context triple: [Sauldre river system, associatedWithLandscapeType, forested lowlands]
-
A.
hasLandscapeType
chosen
Indicates that an entity possesses or is characterized by a particular type or category of landscape.
-
B.
isPartOfLandscape
Indicates that something forms a component or feature within a larger landscape or natural environment.
-
C.
hasLandscapeRelation
Indicates a spatial or visual relationship between entities within a landscape, such as positioning, adjacency, or contextual association in the environment.
-
D.
hasLandscapeUse
Indicates that something is used or intended to be used within a landscape or landscaping context.
-
E.
hasLandscapeArchitecturalStyle
Indicates that something (such as a site or landscape) is designed or characterized according to a particular landscape architectural style.
- 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fff4530f908190afe9387f732c2b7e |
completed | May 10, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fff3c01a64819091196875b0c88607 |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 27, 2026, 12:55 p.m.