Triple
T28009507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andes of Ñuble Region |
E707375
|
entity |
| Predicate | formsNaturalBorderWith |
P155478
|
FINISHED |
| Object | Argentina |
—
|
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: Argentina | Statement: [Andes of Ñuble Region, formsNaturalBorderWith, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsNaturalBorderWith Context triple: [Andes of Ñuble Region, formsNaturalBorderWith, Argentina]
-
A.
hasNaturalBorder
chosen
Indicates that one entity’s boundary with another is formed or defined by a natural feature such as a river, mountain range, coastline, or desert.
-
B.
formsPartOfBorderType
Indicates that one border type constitutes a component or segment of another, more comprehensive border type.
-
C.
formsBorderWithin
Indicates that one entity constitutes a boundary or border located entirely within the spatial extent of another entity.
-
D.
formsBoundaryType
Indicates that one entity serves as a specific type of boundary for another entity.
-
E.
partlyFormsBorderBetween
Indicates that one entity constitutes only a portion of the boundary separating two other entities.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 8:02 p.m.