Triple
T4884346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Charter Chapter VI |
E109403
|
entity |
| Predicate | articleRange |
P59609
|
FINISHED |
| Object | Articles 33–38 |
—
|
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: Articles 33–38 | Statement: [United Nations Charter Chapter VI, articleRange, Articles 33–38]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleRange Context triple: [United Nations Charter Chapter VI, articleRange, Articles 33–38]
-
A.
articleContent
Indicates that one entity is the textual or media content that makes up the body of another entity, typically an article or document.
-
B.
articleType
Indicates the specific category or kind of article associated with an entity.
-
C.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
D.
articleCount
Indicates the number of articles associated with a given entity or context.
-
E.
articleReference
Indicates that one entity cites, mentions, or refers to another entity within an article or written document.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6de253ac8190b1112da6953fa4f2 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2be5e881909f6ec9c3bcde49f3 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6d5976a081909090c0c263f6e9b7 |
completed | March 20, 2026, 3:52 p.m. |
Created at: March 20, 2026, 1:27 p.m.