Triple
T11605201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolshaya Almatinka River |
E275238
|
entity |
| Predicate | shapesLandscapeOf |
P45658
|
FINISHED |
| Object | Almaty surroundings |
—
|
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: Almaty surroundings | Statement: [Bolshaya Almatinka River, shapesLandscapeOf, Almaty surroundings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapesLandscapeOf Context triple: [Bolshaya Almatinka River, shapesLandscapeOf, Almaty surroundings]
-
A.
landscapeElement
chosen
Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
-
B.
landscapeAbstraction
Indicates that one entity is an abstract or non-literal representation derived from the landscape or its features.
-
C.
landscapeStyle
Indicates the design style or aesthetic approach applied to a landscape or outdoor environment.
-
D.
hasLandscapeFeatures
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
-
E.
landscapeConcept
Indicates a conceptual or thematic relationship involving landscapes, such as ideas, interpretations, or abstract representations of landscape.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d895502e0081909ee9c3d45d26cd91 |
completed | April 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.