Triple
T8227659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Part I: Rights and Duties of Citizens |
E192211
|
entity |
| Predicate | hasArticleRange |
P59609
|
FINISHED |
| Object | Article 13–Article 54 |
—
|
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 13–Article 54 | Statement: [Part I: Rights and Duties of Citizens, hasArticleRange, Article 13–Article 54]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArticleRange Context triple: [Part I: Rights and Duties of Citizens, hasArticleRange, Article 13–Article 54]
-
A.
articleRange
chosen
Indicates that one entity specifies the start and end points of a contiguous range of articles that are grouped or referenced together.
-
B.
containsArticle
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
-
C.
hasArticleSystem
Indicates that a language or system employs a structured set of articles (such as definite or indefinite markers) as part of its grammar.
-
D.
hasCanonicalNumberOfArticles
Indicates that an entity is associated with a standard, officially recognized count of articles that define or describe it.
-
E.
articleNumberRange
Indicates that something is associated with or falls within a specified range of article numbers.
- 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb77fdcb048190868ea4995b020a37 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:46 p.m.