Triple

T413406
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Day E9538 entity
Predicate firstConstitutionEffect P10084 FINISHED
Object Pakistan became a republic 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: Pakistan became a republic | Statement: [Pakistan Day, firstConstitutionEffect, Pakistan became a republic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstConstitutionEffect
Context triple: [Pakistan Day, firstConstitutionEffect, Pakistan became a republic]
  • A. effectOfAmendments
    Indicates the causal impact or consequences that specific amendments have on something, such as a law, document, or situation.
  • B. previousConstitutionRevised
    Indicates that a prior constitution has been modified or updated through a formal revision process.
  • C. constitutionAdopted chosen
    Indicates that a particular constitution has been formally accepted and put into effect by the relevant authority or polity.
  • D. constitutionalArticleAffected
    Indicates that a specific constitutional article is impacted, modified, or otherwise influenced by an action, event, or legal measure.
  • E. laterConstitutionalAct
    Indicates that one constitutional act occurs after another in time, establishing a later legal or constitutional measure relative to a prior one.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdc422881908910428fd1aee7c6 completed Feb. 28, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69a2e9749234819084b0ce94faabd0b1 completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.