Triple
T31441221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resolution RC/Res.6 on the crime of aggression |
E802070
|
entity |
| Predicate | addsArticle |
P144802
|
FINISHED |
| Object | Article 8 bis of the Rome Statute |
—
|
NE NERFINISHED |
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: Article 8 bis of the Rome Statute | Statement: [Resolution RC/Res.6 on the crime of aggression, addsArticle, Article 8 bis of the Rome Statute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addsArticle Context triple: [Resolution RC/Res.6 on the crime of aggression, addsArticle, Article 8 bis of the Rome Statute]
-
A.
insertedArticle
chosen
Indicates that one entity has placed or added an article into another entity or context.
-
B.
implementsArticle
Indicates that one entity carries out, realizes, or puts into practice the content, requirements, or provisions specified by a particular article.
-
C.
articleType
Indicates the specific category or kind of article associated with an entity.
-
D.
affectedArticle
Indicates that one entity is an article that is impacted, influenced, or changed as a result of another entity or action.
-
E.
articleIISubject
Indicates that the entity functions as the grammatical subject of a sentence governed by Article II.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:05 p.m.