Triple

T31004916
Position Surface form Disambiguated ID Type / Status
Subject Tobin tax E790040 entity
Predicate hasProposedRate P201870 FINISHED
Object small percentage of transaction value 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: small percentage of transaction value | Statement: [Tobin tax, hasProposedRate, small percentage of transaction value]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProposedRate
Context triple: [Tobin tax, hasProposedRate, small percentage of transaction value]
  • A. hasProposed
    Indicates that one entity has formally suggested or put forward something (such as an idea, plan, or offer) to another entity for consideration or acceptance.
  • B. hasProposedOutcome
    Indicates that an action, decision, or process is associated with a suggested or anticipated result that is being put forward but not yet realized or confirmed.
  • C. hasProposedRole
    Indicates that one entity has suggested or put forward a specific role or position for another entity.
  • D. hasProposal
    Indicates that an entity possesses, is associated with, or is the subject of a specific proposal.
  • E. hasProposedResolution
    Indicates that an entity has put forward a specific resolution or solution for consideration or decision regarding another entity or issue.
  • F. None of above. chosen

Provenance (4 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_69f224c73ca48190a1e46cb58ad4045b completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a002dd4066c8190945a09ed82f44f3f completed May 10, 2026, 7:03 a.m.
PD Predicate disambiguation batch_6a002b141f4081909999e14988105f3a completed May 10, 2026, 6:52 a.m.
PDg Predicate description generation batch_6a002dd3294881909e860157fc459a85 completed May 10, 2026, 7:03 a.m.
Created at: April 29, 2026, 8:57 p.m.