Triple
T11854296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torne River |
E281993
|
entity |
| Predicate | formsBorderSectionBetween |
P96756
|
FINISHED |
| Object | Sweden and Finland |
—
|
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: Sweden and Finland | Statement: [Torne River, formsBorderSectionBetween, Sweden and Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsBorderSectionBetween Context triple: [Torne River, formsBorderSectionBetween, Sweden and Finland]
-
A.
partlyFormsBorderBetween
chosen
Indicates that one entity constitutes only a portion of the boundary separating two other entities.
-
B.
borderSectionName
Indicates the specific named segment or portion of a border that is associated with or applies to an entity.
-
C.
boundaryBetween
Indicates that something serves as a dividing line or limit separating two distinct regions, areas, or entities.
-
D.
adjustedBorderBetween
Indicates that the boundary separating two entities has been modified or realigned from its previous position.
-
E.
borderColor
Indicates the color that forms the boundary or outline of an entity.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.