Triple
T17278437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyborgsky District |
E419451
|
entity |
| Predicate | borderLengthWithFinland |
P126597
|
FINISHED |
| Object | significant portion of Russia–Finland land border |
—
|
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: significant portion of Russia–Finland land border | Statement: [Vyborgsky District, borderLengthWithFinland, significant portion of Russia–Finland land border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderLengthWithFinland Context triple: [Vyborgsky District, borderLengthWithFinland, significant portion of Russia–Finland land border]
-
A.
shareLandBorderLengthApproxKm
Indicates that two entities share a land border whose length is approximately the given number of kilometers.
-
B.
borderTypeWithRussia
Indicates the type or nature of a geographic border that an entity shares with Russia.
-
C.
countryBorderType
Indicates the type or nature of the border relationship that exists between two countries.
-
D.
hasBorderLengthWithCanada_km
Indicates the length, in kilometers, of the land or maritime border that an entity shares with Canada.
-
E.
longestLandBorderWith
Indicates that two entities share a land border and that this border is the longest land border for at least one of the entities.
- F. None of above. chosen
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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43327b048819095fbd93b2105533a |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3874077948190acf5706cfe917d29 |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:40 a.m.