Triple
T19729997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jussi Halla-aho |
E473824
|
entity |
| Predicate | hasBeenConvictedOf |
P6201
|
FINISHED |
| Object | ethnic agitation |
—
|
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: ethnic agitation | Statement: [Jussi Halla-aho, hasBeenConvictedOf, ethnic agitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenConvictedOf Context triple: [Jussi Halla-aho, hasBeenConvictedOf, ethnic agitation]
-
A.
convictedOf
chosen
Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
-
B.
hasHadCriminalConviction
Indicates that an entity has previously been found guilty of a criminal offense through a legal process.
-
C.
hasFirstConviction
Indicates that an entity has received its first legal conviction for an offense.
-
D.
hasBeenImprisoned
Indicates that an entity has been confined or incarcerated in a prison or similar detention facility at some point in time.
-
E.
numberOfConvictions
Indicates the count of times an entity has been formally found guilty of an offense.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fbeaf081909e9356229eaf84dd |
completed | April 20, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.