Triple

T18849604
Position Surface form Disambiguated ID Type / Status
Subject Government Program of Portugal E461004 entity
Predicate canBeRevised P132014 FINISHED
Object in case of major political or economic changes 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: in case of major political or economic changes | Statement: [Government Program of Portugal, canBeRevised, in case of major political or economic changes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeRevised
Context triple: [Government Program of Portugal, canBeRevised, in case of major political or economic changes]
  • A. canRevertTo
    Indicates that one state, version, or condition has the ability to be changed back or restored to another prior state, version, or condition.
  • B. canBeCorrectedBy
    Indicates that something has the potential to be made accurate, fixed, or improved through the intervention or action of a specified agent or method.
  • C. revisionOf
    Indicates that one entity is a modified or updated version of another earlier entity.
  • D. canReform chosen
    Indicates that an entity has the ability or potential to change, improve, or be corrected from a previous state, behavior, or condition.
  • E. canBeReissued
    Indicates that something is eligible to be issued again, such as a document, license, or item that can be re-granted or re-produced after its initial issuance.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8f1abdc819081638ed384da191e completed April 20, 2026, 5:26 a.m.
PD Predicate disambiguation batch_69e48d1e7dac81909ea1e758c87773c5 completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:56 a.m.