Triple
T28246130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svratka River |
E712173
|
entity |
| Predicate | helpsShapeLandscapeOf |
P152913
|
FINISHED |
| Object | South Moravian Region |
E1244727
|
NE 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: South Moravian Region | Statement: [Svratka River, helpsShapeLandscapeOf, South Moravian Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsShapeLandscapeOf Context triple: [Svratka River, helpsShapeLandscapeOf, South Moravian Region]
-
A.
seeksToShape
Indicates an entity’s intention or effort to influence, mold, or determine the form, direction, or outcome of another entity or situation.
-
B.
landscapeRole
Indicates the functional or symbolic role that an entity plays within a particular landscape or environmental setting.
-
C.
hasLandscapeInfluence
chosen
Indicates that one entity has shaped, altered, or significantly affected the characteristics, form, or development of a landscape.
-
D.
landscapeConcept
Indicates a conceptual or thematic relationship involving landscapes, such as ideas, interpretations, or abstract representations of landscape.
-
E.
formsLandscapeWith
Indicates that one entity combines or interacts with another to create or constitute a particular landscape or environmental formation.
- F. None of above.
Provenance (4 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2505867f048190a48c760a11857e2c |
completed | June 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 11:01 p.m.