Triple

T8918088
Position Surface form Disambiguated ID Type / Status
Subject mintReport E212342 entity
Predicate canSuggest P2811 FINISHED
Object fixes for detected problems 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: fixes for detected problems | Statement: [mintReport, canSuggest, fixes for detected problems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canSuggest
Context triple: [mintReport, canSuggest, fixes for detected problems]
  • A. canRecommend chosen
    Indicates that one entity is able or authorized to suggest or endorse another entity as suitable or preferable.
  • B. canIssueRecommendations
    Indicates that an entity has the authority or capability to provide formal recommendations to another entity or about a particular matter.
  • C. wouldProvide
    Indicates that one entity is willing or expected to supply or furnish something to another entity under certain conditions.
  • D. canBe
    Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
  • E. canRefer
    Indicates that one entity has the ability or permission to mention, point to, or direct attention to another 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66120eb08190913ab6c42f26ffb8 completed April 1, 2026, 12:25 a.m.
PD Predicate disambiguation batch_69cc5ed0ef3c81908cc69eac852ee12a completed March 31, 2026, 11:54 p.m.
Created at: March 30, 2026, 6:56 p.m.