Triple
T5885468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 315 of the Constitution of India |
E130849
|
entity |
| Predicate | relatedArticles |
P37
|
FINISHED |
| Object | Article 316 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 316 of the Constitution of India | Statement: [Article 315 of the Constitution of India, relatedArticles, Article 316 of the Constitution of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedArticles Context triple: [Article 315 of the Constitution of India, relatedArticles, Article 316 of the Constitution of India]
-
A.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
articleReference
Indicates that one entity cites, mentions, or refers to another entity within an article or written document.
-
C.
relatedService
Indicates that one service is connected or associated with another service in a relevant or dependent way.
-
D.
relatedBenefit
Indicates that one entity provides an advantage, gain, or positive outcome that is connected or attributable to another entity.
-
E.
relatedLibrary
Indicates that one library has a meaningful connection or association with another library, such as dependency, compatibility, or functional similarity.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.