Triple
T7223477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protocol No. 1 to the European Convention on Human Rights |
E150318
|
entity |
| Predicate | articleCountIncludes |
P2947
|
FINISHED |
| Object | Article 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: Article 1 | Statement: [Protocol No. 1 to the European Convention on Human Rights, articleCountIncludes, Article 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleCountIncludes Context triple: [Protocol No. 1 to the European Convention on Human Rights, articleCountIncludes, Article 1]
-
A.
articleCount
Indicates the number of articles associated with a given entity or context.
-
B.
articleCountApprox
Indicates that the relationship specifies an approximate number of articles associated with an entity.
-
C.
articleNumber
Indicates that one entity is identified or referenced by a specific article number assigned to it.
-
D.
containsArticle
chosen
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
-
E.
hasAdditionalArticlesSince
Indicates that an entity has gained one or more new articles since a specified prior point in time or state.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b54a5c8190a4a289f32853a8fe |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.