Triple

T8561318
Position Surface form Disambiguated ID Type / Status
Subject Protection of Human Rights Act, 1993 E202695 entity
Predicate 2019AmendmentEffect P774 FINISHED
Object expanded eligibility for NHRC chairperson 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: expanded eligibility for NHRC chairperson | Statement: [Protection of Human Rights Act, 1993, 2019AmendmentEffect, expanded eligibility for NHRC chairperson]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 2019AmendmentEffect
Context triple: [Protection of Human Rights Act, 1993, 2019AmendmentEffect, expanded eligibility for NHRC chairperson]
  • A. effectOfAmendments chosen
    Indicates the causal impact or consequences that specific amendments have on something, such as a law, document, or situation.
  • B. hasAmendments
    Indicates that one entity (such as a document, law, or agreement) includes or is associated with one or more modifications, changes, or additions made after its original creation.
  • C. legalAmendment
    Indicates a formal change or modification made to an existing law, regulation, or legal document.
  • D. legislatureAffected
    Indicates that an action, event, or measure has an impact on a legislative body or its functioning.
  • E. isAmendmentTo
    Indicates that one item formally modifies, revises, or adds to the content or terms of another item.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe94af14481908b8762e0dc61f10f completed March 31, 2026, 3:33 p.m.
PD Predicate disambiguation batch_69cbd1160fcc8190aa380a73610af731 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:20 p.m.