Triple
T31563213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criminal Sanctions Agency of Finland |
E805326
|
entity |
| Predicate | typeOfSentenceManaged |
P201323
|
FINISHED |
| Object | imprisonment |
—
|
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: imprisonment | Statement: [Criminal Sanctions Agency of Finland, typeOfSentenceManaged, imprisonment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSentenceManaged Context triple: [Criminal Sanctions Agency of Finland, typeOfSentenceManaged, imprisonment]
-
A.
typeOfSentence
Indicates that one sentence is classified as being of a particular type or category (e.g., declarative, interrogative, imperative).
-
B.
sentenceType
Indicates the classification of a sentence according to its communicative function or structural type (e.g., question, statement, command).
-
C.
typicalSentenceType
Indicates the usual or most characteristic type of sentence associated with an entity, such as whether it is typically declarative, interrogative, imperative, or another sentence form.
-
D.
sentenceOf
Indicates that one entity is a sentence that belongs to, is contained in, or is part of another larger text or document.
-
E.
createdNewSentenceType
Indicates that an entity has produced or defined a previously nonexistent type or category of sentence.
- 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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffebbd9bac8190b3dca4b7252a2278 |
completed | May 10, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69ffe93120a08190a44bb64d052eda78 |
completed | May 10, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69ffebbcef80819099714fa9b7fda762 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 30, 2026, 10:16 p.m.