Triple
T8225730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VCLT |
E192167
|
entity |
| Predicate | articleContains |
P2947
|
FINISHED |
| Object | Article 26 pacta sunt servanda principle |
—
|
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 26 pacta sunt servanda principle | Statement: [VCLT, articleContains, Article 26 pacta sunt servanda principle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleContains Context triple: [VCLT, articleContains, Article 26 pacta sunt servanda principle]
-
A.
containsArticle
chosen
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
-
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.
containsArticleOn
Indicates that one entity includes or features an article about another entity within its content or collection.
-
D.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
E.
articleOrParagraph
Indicates that one entity is either an entire article or a specific paragraph within an article in relation to another entity.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77fc10f48190b7e241c89885a478 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:45 p.m.