Triple
T6162465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Council of Ministers |
E137473
|
entity |
| Predicate | mentionedInArticle |
P17905
|
FINISHED |
| Object | Article 74 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: Article 74 of the Constitution of India | Statement: [Union Council of Ministers, mentionedInArticle, Article 74 of the Constitution of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentionedInArticle Context triple: [Union Council of Ministers, mentionedInArticle, Article 74 of the Constitution of India]
-
A.
mentionedAs
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
B.
mentionedWith
Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
-
C.
mentionedInInscription
Indicates that an entity is referenced or named within a specific inscription or inscribed text.
-
D.
articleReference
chosen
Indicates that one entity cites, mentions, or refers to another entity within an article or written document.
-
E.
containsArticleOn
Indicates that one entity includes or features an article about another entity within its content or collection.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.