Triple
T9498244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidentti |
E229067
|
entity |
| Predicate | keyPower |
P88956
|
FINISHED |
| Object | foreign policy leadership together with the Government |
—
|
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 leadership together with the Government | Statement: [Presidentti, keyPower, foreign policy leadership together with the Government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyPower Context triple: [Presidentti, keyPower, foreign policy leadership together with the Government]
-
A.
keyPowerAdvisedOn
Indicates that one entity provided guidance or recommendations to another entity regarding key power-related matters or decisions.
-
B.
powerBy
Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
-
C.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
-
D.
powerLevel
Indicates the degree or intensity of power or strength possessed by an entity in a given context.
-
E.
keyExercise
Indicates that an exercise is a primary or essential component within a larger training, practice, or instructional context.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95ef06b88190b7a840caddea3e38 |
completed | April 1, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca8c6b0f081908334d6c7cf80e03c |
completed | April 1, 2026, 5:10 a.m. |
Created at: March 30, 2026, 7:56 p.m.