Triple
T5369439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Murten |
E108809
|
entity |
| Predicate | shoreUse |
P20797
|
FINISHED |
| Object | viticulture |
—
|
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: viticulture | Statement: [Lake Murten, shoreUse, viticulture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoreUse Context triple: [Lake Murten, shoreUse, viticulture]
-
A.
shore
Indicates a relationship where one entity forms or lies along the edge or boundary of a body of water, such as a sea, lake, or river.
-
B.
shoreType
Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
-
C.
hasShorelineUse
chosen
Indicates that a geographic area or property is used for a particular type of activity or purpose along its shoreline.
-
D.
marineArea
Indicates a relationship where an entity is located in, associated with, or relevant to a specific marine or oceanic area.
-
E.
shorelineIncludes
Indicates that a shoreline spatially contains or encompasses a specified coastal feature or segment.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:02 p.m.