Triple
T4430765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pic Saint-Loup AOC |
E95321
|
entity |
| Predicate | associatedLandscape |
P9701
|
FINISHED |
| Object | garrigue vegetation |
—
|
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: garrigue vegetation | Statement: [Pic Saint-Loup AOC, associatedLandscape, garrigue vegetation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLandscape Context triple: [Pic Saint-Loup AOC, associatedLandscape, garrigue vegetation]
-
A.
landscapeRole
Indicates the functional or symbolic role that an entity plays within a particular landscape or environmental setting.
-
B.
relatedPlace
Indicates a relationship where one place is connected or associated with another place in a relevant or meaningful way.
-
C.
landscapeElement
Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
-
D.
landscapeType
chosen
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
E.
associatedCult
Indicates that an entity is connected or linked to a particular cult, typically through membership, affiliation, or influence.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3556b71448190a3fab938853f8b87 |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.