Triple
T2838354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Court in Bratislava |
E62404
|
entity |
| Predicate | triedCategoryOfDefendants |
P41330
|
FINISHED |
| Object | high-ranking Slovak political leaders |
—
|
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: high-ranking Slovak political leaders | Statement: [National Court in Bratislava, triedCategoryOfDefendants, high-ranking Slovak political leaders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triedCategoryOfDefendants Context triple: [National Court in Bratislava, triedCategoryOfDefendants, high-ranking Slovak political leaders]
-
A.
subjectOfProsecution
Indicates that an entity is the target or focus of a legal prosecution or criminal proceeding initiated by an authority.
-
B.
typicalDefendants
chosen
Indicates that the referenced entities are the ones most commonly or characteristically serving as defendants in the relevant legal context.
-
C.
hasPrisonerCategory
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
D.
targetOffenderType
Indicates the specific category or type of offender that an action, rule, or condition is directed toward.
-
E.
accusedOf
Indicates that one entity has formally alleged or claimed that another entity committed a specific wrongdoing or 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdef015bc81909f6a2ff17b22862f |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.