Triple
T9840182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madras State in Rajya Sabha |
E239201
|
entity |
| Predicate | articleBasis |
P90275
|
FINISHED |
| Object | Article 80 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 80 of the Constitution of India | Statement: [Madras State in Rajya Sabha, articleBasis, Article 80 of the Constitution of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleBasis Context triple: [Madras State in Rajya Sabha, articleBasis, Article 80 of the Constitution of India]
-
A.
articleType
Indicates the specific category or kind of article associated with an entity.
-
B.
articleReference
Indicates that one entity cites, mentions, or refers to another entity within an article or written document.
-
C.
articleIISubject
Indicates that the entity functions as the grammatical subject of a sentence governed by Article II.
-
D.
articleContent
Indicates that one entity is the textual or media content that makes up the body of another entity, typically an article or document.
-
E.
articleRange
Indicates that one entity specifies the start and end points of a contiguous range of articles that are grouped or referenced together.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34b045481908f89abd576aab497 |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:33 p.m.