Triple

T1582211
Position Surface form Disambiguated ID Type / Status
Subject Donald W. Riegle Jr. E33789 entity
Predicate areaOfLegislativeActivity P17365 FINISHED
Object banking 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: banking | Statement: [Donald W. Riegle Jr., areaOfLegislativeActivity, banking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areaOfLegislativeActivity
Context triple: [Donald W. Riegle Jr., areaOfLegislativeActivity, banking]
  • A. legislativeActivity
    Indicates involvement in creating, debating, amending, or passing laws or related legislative measures.
  • B. areaOfLegislation chosen
    Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by another entity.
  • C. legislativeOutput
    Indicates the amount or nature of laws, regulations, or formal decisions produced by a legislative body.
  • D. legislativeAudience
    Indicates that the subject is the intended legislative body or group of lawmakers to whom a proposal, document, or action is directed.
  • E. hasLegislativeSubject
    Indicates that a legislative document, action, or body concerns, addresses, or is about a particular subject or topic.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abacfb1144819080c5687175aba1e1 completed March 7, 2026, 4:43 a.m.
PD Predicate disambiguation batch_69aa61b0f5bc8190b1dc272990a59c13 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:27 p.m.