Triple

T9972054
Position Surface form Disambiguated ID Type / Status
Subject Nehru Report E196230 entity
Predicate proposedFormOfGovernment P15721 FINISHED
Object parliamentary system 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: parliamentary system | Statement: [Nehru Report, proposedFormOfGovernment, parliamentary system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proposedFormOfGovernment
Context triple: [Nehru Report, proposedFormOfGovernment, parliamentary system]
  • A. opposedFormOfGovernment
    Indicates that one entity holds a stance against, or is in opposition to, the form of government represented by the other entity.
  • B. politicalForm chosen
    Indicates the type or structure of governance or political organization that characterizes an entity.
  • C. typeOfGovernmentAfter
    Indicates the form of government that exists or is established in a place following a specified event or time period.
  • D. governmentType
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • E. constitutionType
    Indicates the type or form of a constitution that characterizes or governs an entity.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7bb03688190a3f4fc1988b8fafa completed April 2, 2026, 12:26 a.m.
PD Predicate disambiguation batch_69cd1d9daa808190b413a1b9a1e929e2 completed April 1, 2026, 1:29 p.m.
Created at: March 30, 2026, 8:48 p.m.