Triple
T38665172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Causses and the Cévennes, Mediterranean agro-pastoral Cultural Landscape |
E940434
|
entity |
| Predicate | mainLandscapeType |
P9701
|
FINISHED |
| Object | limestone plateau |
—
|
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: limestone plateau | Statement: [The Causses and the Cévennes, Mediterranean agro-pastoral Cultural Landscape, mainLandscapeType, limestone plateau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainLandscapeType Context triple: [The Causses and the Cévennes, Mediterranean agro-pastoral Cultural Landscape, mainLandscapeType, limestone plateau]
-
A.
primaryLandscape
Indicates that one landscape serves as the main or most characteristic environmental setting associated with an entity or context.
-
B.
isPartOfLandscape
Indicates that something forms a component or feature within a larger landscape or natural environment.
-
C.
hasLandscapeType
Indicates that an entity possesses or is characterized by a particular type or category of landscape.
-
D.
landscapeType
chosen
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
E.
typeOfLandmark
Indicates the specific category or kind of landmark that an entity belongs to (e.g., monument, natural feature, building).
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:33 p.m.