Triple
T1017831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Duke of Finland |
E21971
|
entity |
| Predicate | hadPowerOver |
P544
|
FINISHED |
| Object | foreign policy of Finland (through Russian Empire) |
—
|
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: foreign policy of Finland (through Russian Empire) | Statement: [Grand Duke of Finland, hadPowerOver, foreign policy of Finland (through Russian Empire)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPowerOver Context triple: [Grand Duke of Finland, hadPowerOver, foreign policy of Finland (through Russian Empire)]
-
A.
hasPower
chosen
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
B.
exercisedPowerOver
Indicates that one entity exerted control, influence, or authority over another entity.
-
C.
cameToPowerThrough
Indicates the manner or process by which an entity attained authority, leadership, or control, specifying how it rose to power.
-
D.
grantedPower
Indicates that one entity has conferred authority, control, or a specific capability to another entity.
-
E.
typeOfPowerGranted
Indicates the specific kind or category of power or authority that is conferred from one entity to another.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c4d488819081d8214ba0a22fe5 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b7238d4c8190b22d6c2ac0ac4911 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.