Triple

T6103394
Position Surface form Disambiguated ID Type / Status
Subject Article 53 of the Constitution of India E136058 entity
Predicate subPart P28620 FINISHED
Object Chapter I – The Executive 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: Chapter I – The Executive | Statement: [Article 53 of the Constitution of India, subPart, Chapter I – The Executive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subPart
Context triple: [Article 53 of the Constitution of India, subPart, Chapter I – The Executive]
  • A. subunitOf chosen
    Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
  • B. subtheme
    Indicates that one topic or concept functions as a more specific, subordinate theme within a broader overarching theme.
  • C. subunitType
    Indicates that one entity is a specific kind or classification of subunit within the structure or composition of another entity.
  • D. partOfType
    Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another entity.
  • E. partOfSingle
    Indicates that one entity is a component or member of exactly one specific whole or collection, and not shared among multiple such wholes.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 completed March 22, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69c049f5ac988190b62ba565153aaa35 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:13 p.m.