Triple
T25229497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directive Principles of State Policy (India) |
E632184
|
entity |
| Predicate | coversArticles |
P158427
|
FINISHED |
| Object | Articles 36 to 51 of the Constitution of India |
—
|
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 36 to 51 of the Constitution of India | Statement: [Directive Principles of State Policy (India), coversArticles, Articles 36 to 51 of the Constitution of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversArticles Context triple: [Directive Principles of State Policy (India), coversArticles, Articles 36 to 51 of the Constitution of India]
-
A.
articleType
Indicates the specific category or kind of article associated with an entity.
-
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.
containsArticleOn
Indicates that one entity includes or features an article about another entity within its content or collection.
-
D.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
-
E.
articleContent
Indicates that one entity is the textual or media content that makes up the body of another entity, typically an article or 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47cc608bc8190b3ae866dafd25c4f |
completed | May 1, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 1:04 p.m.