Triple
T609643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continuation War |
E12068
|
entity |
| Predicate | consequenceForFinland |
P812
|
FINISHED |
| Object | cession of Petsamo to Soviet Union |
—
|
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: cession of Petsamo to Soviet Union | Statement: [Continuation War, consequenceForFinland, cession of Petsamo to Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceForFinland Context triple: [Continuation War, consequenceForFinland, cession of Petsamo to Soviet Union]
-
A.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
FinnishCasualties
Indicates that the relationship specifies the number or details of casualties suffered by Finnish forces in a particular conflict or event.
-
C.
affectedCountry
Indicates that a particular country is impacted or influenced by an event, action, or condition.
-
D.
concluded
Indicates that an entity has brought an event, process, discussion, or agreement to an end, often after reaching a decision or final judgment.
-
E.
debatedAsCauseOf
Indicates that one entity is discussed or argued over as a possible cause or origin of another 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df68f2c8190a0ee9da4692b2a62 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cfa7b4481909bec7a5fd3e98c65 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.