Triple
T96401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rome Statute of the International Criminal Court |
E1940
|
entity |
| Predicate | KampalaAmendmentsConcern |
P1121
|
FINISHED |
| Object | crime of aggression |
—
|
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: crime of aggression | Statement: [Rome Statute of the International Criminal Court, KampalaAmendmentsConcern, crime of aggression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KampalaAmendmentsConcern Context triple: [Rome Statute of the International Criminal Court, KampalaAmendmentsConcern, crime of aggression]
-
A.
amendmentCount
Indicates the number of amendments that have been made to a given item, document, or entity.
-
B.
laterConstitutionalAct
Indicates that one constitutional act occurs after another in time, establishing a later legal or constitutional measure relative to a prior one.
-
C.
constitutionalArticleAffected
Indicates that a specific constitutional article is impacted, modified, or otherwise influenced by an action, event, or legal measure.
-
D.
effectOfAmendments
Indicates the causal impact or consequences that specific amendments have on something, such as a law, document, or situation.
-
E.
amendedBy
chosen
Indicates that one entity has been modified, revised, or updated as a result of changes made by another entity.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a250cb400c8190b56343bbe19b48c7 |
completed | Feb. 28, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69a24ebd19c48190bab291fea0ecc0c2 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.