Triple
T3106147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prosecutor v. Thomas Lubanga Dyilo |
E64834
|
entity |
| Predicate | articleInvoked |
P17905
|
FINISHED |
| Object | Article 8(2)(e)(vii) Rome Statute |
—
|
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: Article 8(2)(e)(vii) Rome Statute | Statement: [Prosecutor v. Thomas Lubanga Dyilo, articleInvoked, Article 8(2)(e)(vii) Rome Statute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleInvoked Context triple: [Prosecutor v. Thomas Lubanga Dyilo, articleInvoked, Article 8(2)(e)(vii) Rome Statute]
-
A.
articleReference
chosen
Indicates that one entity cites, mentions, or refers to another entity within an article or written document.
-
B.
articleContent
Indicates that one entity is the textual or media content that makes up the body of another entity, typically an article or document.
-
C.
articleType
Indicates the specific category or kind of article associated with an entity.
-
D.
articleIISubject
Indicates that the entity functions as the grammatical subject of a sentence governed by Article II.
-
E.
article9Provision
Indicates a relationship where a specific legal or contractual element is identified as a provision contained within Article 9 of a larger document or agreement.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29beff08190b6e1eb6b0608d0eb |
completed | March 8, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.