Triple
T24246438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peine del Viento XV |
E603385
|
entity |
| Predicate | landscapeDesignBy |
P19613
|
FINISHED |
| Object | Luis Peña Ganchegui |
—
|
NE NERFINISHED |
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: Luis Peña Ganchegui | Statement: [Peine del Viento XV, landscapeDesignBy, Luis Peña Ganchegui]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landscapeDesignBy Context triple: [Peine del Viento XV, landscapeDesignBy, Luis Peña Ganchegui]
-
A.
landscapeDesignedBy
chosen
Indicates that a particular landscape or outdoor environment was planned, created, or shaped by a specific designer or design entity.
-
B.
landscapeElement
Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
-
C.
landscapeConcept
Indicates a conceptual or thematic relationship involving landscapes, such as ideas, interpretations, or abstract representations of landscape.
-
D.
landscapeManagement
Indicates the planning, implementation, and maintenance of actions that shape, conserve, or restore the physical and ecological characteristics of a landscape.
-
E.
gardensStyle
Indicates the stylistic design or aesthetic tradition according to which a garden is created or arranged.
- 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b85349481909c21dacd48df7b8e |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:04 a.m.