Triple
T16869254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radislav Krstić |
E410125
|
entity |
| Predicate | hasLegalSanction |
P3012
|
FINISHED |
| Object | long-term 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: long-term imprisonment | Statement: [Radislav Krstić, hasLegalSanction, long-term imprisonment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalSanction Context triple: [Radislav Krstić, hasLegalSanction, long-term imprisonment]
-
A.
canBeSanctionedFor
Indicates that an entity is subject to penalties or disciplinary measures as a consequence of a specified action, behavior, or condition.
-
B.
sanctionedAs
Indicates that an entity is officially approved, authorized, or recognized in a particular role, status, or capacity by a relevant authority.
-
C.
isSanctionedBy
Indicates that an entity is subject to official penalties, restrictions, or punitive measures imposed by another authority or organization.
-
D.
hasPunishment
chosen
Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
-
E.
hasLegalIssue
Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50b85c08190b35d1c45ee0e9675 |
completed | April 18, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.