Triple
T612931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article I of the 1948 Genocide Convention |
E12138
|
entity |
| Predicate | articleNumber |
P17113
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Article I of the 1948 Genocide Convention, articleNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleNumber Context triple: [Article I of the 1948 Genocide Convention, articleNumber, 1]
-
A.
articleCount
Indicates the number of articles associated with a given entity or context.
-
B.
articleType
Indicates the specific category or kind of article associated with an entity.
-
C.
containsArticle
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
-
D.
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.
-
E.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
- F. None of above. chosen
Provenance (4 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e08dbf88190ab050078a63e266b |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfbcbf88190a854921dc531eba8 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.