Triple
T7223494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protocol No. 1 to the European Convention on Human Rights |
E150318
|
entity |
| Predicate | article2Title |
P56164
|
FINISHED |
| Object | Right to education |
—
|
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: Right to education | Statement: [Protocol No. 1 to the European Convention on Human Rights, article2Title, Right to education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: article2Title Context triple: [Protocol No. 1 to the European Convention on Human Rights, article2Title, Right to education]
-
A.
textTitle
Indicates that one text entity serves as the title or heading for another text or resource.
-
B.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
C.
articleIName
chosen
Indicates that the predicate specifies the name or title of an article associated with the subject entity.
-
D.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
E.
titles
Indicates that one entity holds a formal title, designation, or name associated with 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_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.