Triple
T25115455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Part IX of the Constitution of India |
E629115
|
entity |
| Predicate | consistsOfArticlesFrom |
P2947
|
FINISHED |
| Object | Article 243 |
—
|
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 243 | Statement: [Part IX of the Constitution of India, consistsOfArticlesFrom, Article 243]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consistsOfArticlesFrom Context triple: [Part IX of the Constitution of India, consistsOfArticlesFrom, Article 243]
-
A.
containsArticleOn
Indicates that one entity includes or features an article about another entity within its content or collection.
-
B.
hasSeparateArticleFrom
Indicates that two related topics are covered in distinct, standalone articles rather than within the same article.
-
C.
containsArticle
chosen
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
-
D.
introducedArticles
Indicates that an entity has brought specific articles or written works into use, discussion, or circulation.
-
E.
implementsArticle
Indicates that one entity carries out, realizes, or puts into practice the content, requirements, or provisions specified by a particular article.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46d3f35848190b56a4373c97a7d64 |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:27 a.m.