Triple
T2758494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 45 of the United Nations Charter |
E61162
|
entity |
| Predicate | relatedToArticle |
P37
|
FINISHED |
| Object | Article 43 of the United Nations Charter |
—
|
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 43 of the United Nations Charter | Statement: [Article 45 of the United Nations Charter, relatedToArticle, Article 43 of the United Nations Charter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToArticle Context triple: [Article 45 of the United Nations Charter, relatedToArticle, Article 43 of the United Nations Charter]
-
A.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
articleReference
Indicates that one entity cites, mentions, or refers to another entity within an article or written document.
-
C.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
-
D.
relatedBlock
Indicates that one block is associated with or connected to another block in some relevant way.
-
E.
containsArticleOn
Indicates that one entity includes or features an article about another entity within its content or collection.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8d34f88190a760111fe303cf24 |
completed | March 7, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69abd82de7f48190acd614f28644c6da |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:57 p.m.